Mega-PAW Las Vegas Speakers

June 16-20, 2019 – Caesars Palace

PAW Business

Dean Abbott
Dean Abbott

Co-Founder and Chief Data Scientist

Dean Abbott is Co-Founder and Chief Data Scientist of SmarterHQ, and President of Abbott Analytics, Inc. in San Diego, California. Mr. Abbott is an internationally recognized data mining and predictive analytics expert with over two decades of experience applying advanced data mining algorithms, data preparation techniques, and data visualization methods to real-world problems, including fraud detection, risk modeling, text mining, personality assessment, response modeling, survey analysis, planned giving, and predictive toxicology.

Mr. Abbott is the author of Applied Predictive Analytics (Wiley, 2014) and co-author of IBM SPSS Modeler Cookbook (Packt Publishing, 2013). He is a highly-regarded and popular speaker at Predictive Analytics and Data Mining conferences and meetups, and is on the Advisory Boards for the UC/Irvine Predictive Analytics Certificate as well as the UCSD Data Mining Certificate programs.

He has a B.S. in Mathematics of Computation from Rensselaer (1985) and a Master of Applied Mathematics from the University of Virginia (1987).

Ashish Bansal
Ashish Bansal

Senior Engineering Manager

Ashish manages the Events recommendations and Trends team at Twitter. He uses AI/ML to generate insights from vast amounts of data and build interesting B2C, B2B and enterprise products. He has over 20 years of experience in technology ranging from founding startups to large companies. He has an MBA in marketing from Kellogg School of Management and a B.Tech from IIT BHU, India.

Ashish Bansal is speaker of the following session:

Leslie Barrett
Leslie Barrett

Senior Software Engineer

Leslie Barrett is a Senior Software Engineer at Bloomberg LP's Bloomberg Law division specializing in NLP and Machine Learning applied to legal and government text. Before Bloomberg she was Director of Search Technology at The Ladders Inc, an online resource for executive jobseekers and recruiters. Previously, she was Director of Language Technology at the Financial Times where she managed groups creating new online news search products and electronic news alerts. Leslie holds Ph.D. in Computational Linguistics from New York University. She has over 20 published papers in the fields of Natural Language Processing and Information Retrieval and holds 2 patents. She serves on the Program Committees for the International Conference on Computational Linguistics and Intelligent Text Processing and the International Workshop on Big Data for Financial News.


Leslie Barrett is speaker of the following sessions:

Yoram Bauman
Yoram Bauman

The world's first and only stand-up economist

Yoram Bauman, “the world’s first and only stand-up economist”, performs regularly at colleges and corporate events, sharing the stage with everyone from the late Robin Williams to Paul Krugman. He has appeared in TIME Magazine and on PBS and NPR, and is the co-author of the Cartoon Introduction to Climate Change and the two-volume Cartoon Introduction to Economics, which is now available in Mandarin, Mongolian, and a dozen other languages. Speaking of foreign languages, he is also the organizer of the humor session at the annual meeting of the American Economic Association.

Yoram now lives in Salt Lake City but spent the prior two decades in Seattle, where he was the founder of Carbon Washington, which in 2016 placed the first-ever carbon tax measure on the ballot in the United States. He has a BA in mathematics from Reed College and a PhD in economics from the University of Washington. His goals in life are to spread joy to the world through economics comedy; to reform economics education; and to implement carbon pricing.

Yoram Bauman is speaker of the following session:

Zank Bennett
Zank Bennett

CEO and Founder

Bennett Data Science

Zank Bennett is the CEO and founder of Bennett Data Science, a boutique firm based out of sunny San Diego. Zank and the team at BDS help companies flourish in the age of data by finding novel ways to grow their products and revenue using machine learning and data science.

Zank has more than two decades of analytics experience and has served as the director of data science for both Trunk Club and SweetLabs. Zank’s years of experience shaped the easy to understand, product-first approach he now delights in bringing to his customers, from scrappy start-ups to established Fortune 500’s.

Bob Bress
Bob Bress

Vice President of Analytics & Business Intelligence

Bob Bress is Vice President of Analytics & Business Intelligence at Freewheel, a Comcast Company focused on advanced advertising technologies. In that role he leads teams of data science and analytical staff using their expertise to lead the development of the next generation of advanced targeted advertising products for television and premium video. Bob has over 15 years of analytics experience across industries including work in hospitality, energy, and at GE's Global Research Center in the Applied Statistics Lab.

Bob holds undergraduate and graduate degrees in Industrial Engineering and Operations Research & Statistics from Rensselaer Polytechnic Institute.

Bob Bress is speaker of the following session:

Jeffrey Camm
Jeffrey Camm

Associate Dean of Business Analytics, Inmar Presidential Chair in Analytics, and Executive Director of the Center for Analytics Impact

Jeffrey D. Camm is Associate Dean of Business Analytics, the Inmar Presidential Chair in Analytics, and the Executive Director of the Center for Analytics Impact at the Wake Forest University School of Business. He received his PhD in Management Science from Clemson University and a BS in Mathematics from Xavier University. Prior to joining Wake Forest, he  held the Joseph S. Stern Chair in Business Analytics in the Lindner College of Business at the University of Cincinnati and he has been a visiting professor at the Tuck School of Business at Dartmouth College and the School of Engineering at Stanford University.

Professor Camm’s scholarship is on the application of optimization modeling and solution algorithms to difficult decision problems in a diverse set of application areas including, operations planning and scheduling, supply chain optimization, product design, and conservation. His research has appeared in Science, Management Science, Operations Research, Interfaces and a variety of other journals and has been funded by the USAF Office of Scientific Research, the U.S. EPA, the U.S. Office of Naval Research, and Argonne National Labs.

Camm has coauthored nine textbooks in statistics, management science, and analytics. He is coauthor of the third edition of Business Analytics (Cengage Publishing), the best-selling textbook on business analytics.  In 2006, he won the INFORMS Prize for the Teaching of Operations Research Practice and previously served as the editor in chief of Interfaces (now the INFORMS Journal on Applied Analytics). He was the 2016 recipient of the Kimball Medal for service to the operations research profession and in 2017 he was elected an INFORMS Fellow.  

A firm believer in practicing what he preaches, he has consulted for numerous corporations including among others, Procter and Gamble, Owens Corning, GE, Duke Energy, Tyco, Ace Hardware, Corning, Boar’s Head, Starbucks, Road Runner Sports, Brooks Running Shoes and Kroger. His work in supply chain optimization with Procter & Gamble was a 1996 Edelman Award Finalist and is credited with helping P&G save over $250,000,000 annually in their North American supply chain. In 1998, his joint work on nature reserve site selection for efficient conservation was published in the journal Science and appeared in a brief to President Clinton.

Dan Case
Dan Case

Principal

Dan Case is a Principal with Cicero Group and co-leads the firm’s Customer Insight and Analytics practice. Dan has specific expertise in using analytic approaches to empower tangible, data-driven strategies for clients. With over ten years of management consulting and research experience, Dan has been a trusted advisor to senior executives across a range of companies and industries. 

Dan Case is speaker of the following session:

    Dave Chan
    Dave Chan

    Vice President, Digital Innovation & Business Intelligence

    Dave Chan is a certified business intelligence and change management professional, with a track record of implementing data-driven programmes for retail banking, media and healthcare organizations. Currently the Global Lead of Data Excellence at UBM plc, and Vice President Digital Innovation - Business Intelligence at UBM Asia, Dave leads teams and partners that deliver new industry standards in digitalization and use of data intelligence across sales, marketing and finance. UBM operates in more than 20 countries and organizes over 300 market-leading B2B events every year, creating environments which allow businesses to flourish.Prior to UBM Asia, Dave was with HSBC and has held various positions in regional CRM, business intelligence and strategic planning in retail banking.

    Dave Chan is speaker of the following session:

    Stephen Chen
    Stephen Chen

    Director of Strategic Analytics

    Stephen Chen spent over 10 years as an advanced analytics management consultant in diverse industries (including financial, retail, CPG, automotive, telecom, technology, healthcare, agency etc.) helping senior management turnaround their businesses with his blend of data science, strategy, and human insights expertise. Along the way, he has audited numerous models as well as developed analytic techniques that address shortcomings of existing methods.

    Originally trained as a social scientist, Stephen was one of the handful of researchers to specialize in Social Network Analysis before the ascendance of Google and Facebook popularized those algorithms. He taught classes on Critical Statistics in university and has been a passionate advocate for model robustness and reliability.

    Stephen Chen is speaker of the following session:

    Aaron Cheng
    Aaron Cheng

    VP of Data Science

    Aaron is currently the Vice President of Data Science and Solutions at dotData. As a data science practitioner with 14 years of research and industrial experience, he has held various leadership positions in spearheading new product development in the fields of data science and business intelligence. At dotData, Aaron leads the data science team in working directly with clients and solving their most challenging problems.

    Prior to joining dotData, he was a Data Science Principle Manager with Accenture Digital, responsible for architecting data science solutions and delivering business values for the tech industry on the West Coast. He was instrumental in the strategic expansion of Accenture Digital’s footprint in the data science market in North America.
    Aaron received his Ph.D. degree in Applied Physics from Northwestern University

    Lawrence Cowan
    Lawrence Cowan

    Senior Partner & COO

    Lawrence is Senior Partner, COO and Customer Insights & Advanced Analytics practice leader with Cicero Group. Lawrence has spent the last decade building Cicero's analytics practice where he has experience helping Fortune 1000 firms solve real business challenges with data, including attrition, segmentation, sales prioritization, pricing, and customer satisfaction. He also leads the firm in predictive analytics and Big Data related engagements, applying Cicero’s deep expertise in strategy execution to ensure data delivers ROI.  He has partnered with companies to help them to shift from reactive to predictive analytics by collecting and analyzing real-time information and distributing it across the organization— allowing management to make better, faster decisions that move the business forward.

    Lawrence holds a Master’s of Science in Predictive Analytics from Northwestern University, an MBA with an emphasis in Business Economics from Westminster College, and a BA from Brigham Young University

    Lawrence Cowan is speaker of the following session:

    Dyann Daley MD
    Dyann Daley MD

    Founder and CEO

    Dr. Dyann Daley, MD,  is an experienced pediatric anesthesiologist and child maltreatment prevention executive, specializing in location-based predictive modeling, systems thinking, and development of practical solutions for community-influenced children’s issues.  

    Dr. Daley founded and was the executive director of Cook Children’s Center for Prevention of Child Maltreatment in Fort Worth, Texas where she demonstrated the effectiveness of place-based predictive analytics for child maltreatment using spatial risk modeling.  She went on to found Predict Align Prevent, a national nonprofit advancing geospatial machine learning predictions in child welfare, strategic alignment of prevention resources, and implementation of accountable prevention programs to prevent child maltreatment before it happens.  Her organization is committed to open science for social good. 

    Dyann Daley MD is speaker of the following session:

    Gourab De PhD
    Gourab De PhD

    Vice President of Data Science

    Dr. Gourab De is the Vice President of Data Science at DataRobot, where his primary focus is helping customers improve their ability to make and implement predictions. Previously, De was part of the data science team at Ginger.io focusing on behavioral analytics in mental health. His professional experience includes statistical genetics, clinical trials, retrospective claims analysis, chart review studies, predictive modeling and pharmacoeconomic modeling. De graduated with honors from the Indian Statistical Institute in Kolkata, India, and received a Ph.D. in Biostatistics from Harvard University.

    Ash Dhupar
    Ash Dhupar

    Chief Analytics Officer

    Ash is Chief Analytics Officer at Publishers Clearing House and is responsible for driving AI Driven (Machine &Deep learning) business impact to the business. Ash oversees analytics, algorithm& sciences , and business insights across E/Commerce, Digital Entertainment and PCH Media.

    Ash is 2019’s top 100 Data & Analytics innovators, Advisory Board Member to The Rutgers University Big Data Program and various Analytics organizations.  

    Ash Dhupar is speaker of the following session:

    John Elder Ph.D.
    John Elder Ph.D.

    Founder & Chair

    John Elder chairs America’s most experienced Data Science consultancy. Founded in 1995, Elder Research has offices in Virginia, Maryland, North Carolina, Washington DC, and London. Dr. Elder co-authored 3 award-winning books on analytics, was a discoverer of ensemble methods, chairs international conferences, and is a popular keynote speaker. John is occasionally an Adjunct Professor of Systems Engineering at the University of Virginia.

    Eric J. Felsberg
    Eric J. Felsberg

    Principal, Long Island Office

    ERIC J. FELSBERG is a Principal in the Long Island, New York office of Jackson Lewis P.C. and the National Director of JL Data Analytics Group.

    As the National Director of JL Data Analytics Group, Mr. Felsberg leads a team of multidisciplinary lawyers, statisticians, data scientists, and analysts with decades of experience managing the interplay of data analytics and the law. Under Mr. Felsberg's leadership, the Data Analytics Group applies proprietary algorithms and state-of-the-art modeling techniques to help employers evaluate risk and drive legal strategy.

    In addition to other services, the team offers talent analytics for recruitment, workforce management and equity and policy assessments through predictive modeling, partners with employers in the design of data-driven solutions that comply with applicable workplace law, manages and synthesizes large data sets from myriad sources into analyzable formats, provides compliance assessment and litigation support services including damage calculations, risk assessments, and selection decision analyses, and offers strategic labor relations assistance including determination of long term costs of collective bargaining agreements, review of compliance with collectively bargained compensation plans and assessment of the efficacy of training programs. The JL Data Analytics Group designs its service delivery models to maximize the protections afforded by the attorney-client and other privileges.

    Mr. Felsberg also provides training and daily counsel to employers in various industries on day-to-day employment issues and the range of federal, state, and local affirmative action compliance obligations. Mr. Felsberg works closely with employers to prepare affirmative action plans for submission to the Office of Federal Contract Compliance Programs (OFCCP) during which he analyzes and investigates personnel selection and compensation systems. Mr. Felsberg has successfully represented employers during OFCCP compliance reviews, OFCCP individual complaint investigations, and in matters involving OFCCP claims of class-based discrimination. He regularly evaluates and counsels employers regarding compensation systems both proactively as well as in response to complaints and enforcement actions.

    Mr. Felsberg is an accomplished and recognized speaker on issues of workplace analytics and affirmative action compliance.

    While at Hofstra University School of Law, Mr. Felsberg served as the Editor-in-Chief of the Hofstra Labor & Employment Law Journal.

    Eric J. Felsberg is speaker of the following session:

    Josh Frank
    Josh Frank

    Vice President-Gaming Data Science & Fraud Analytics

    Josh Frank works at Caesars as Vice President of Gaming, Data Science, and Fraud Analytics having previously worked in the role of Director of Advanced Analytics.  Prior to Caesars he worked at Intuit as Manager of Risk Modeling and Data Sciences.  Prior to that Josh worked as a Senior Researcher for the Center for Responsible Lending (a think tank/advocacy organization), as a professor of economics, an economic forecaster for state government, co-founded a non-profit organization, and managed various functions at a top ten credit card issuer.  Josh has his Ph.D. in Economics as well as an MBA.  Josh has had numerous newspaper/television interviews from major media outlets as well as academic publications.

    Josh Frank is speaker of the following session:

    Bill Franks
    Bill Franks

    Chief Analytics Officer

    Bill Franks is Chief Analytics Officer for The International Institute For Analytics (IIA), where he provides perspective on trends in the analytics & big data space and helps clients understand how IIA can support their efforts to improve analytics performance. Franks is also the author of the books Taming The Big Data Tidal Wave and The Analytics Revolution. He is a sought after speaker and frequent blogger who has been ranked a top 10 global big data influencer. His work, including several years as Chief Analytics Officer for Teradata (NYSE:TDC), has spanned clients in a variety of industries for companies ranging in size from Fortune 100 companies to small non-profit organizations. You can learn more at http://www.bill-franks.com.

    Bill Franks is speaker of the following session:

    Ryohei Fujimaki
    Ryohei Fujimaki

    CEO

    dotData

    Ryohei is the Founder & CEO of dotData. Prior to founding dotData, he was the youngest research fellow ever in NEC Corporation’s 119-year history, the title was honored for only six individuals among 1000+ researchers. During his tenure at NEC, Ryohei was heavily involved in developing many cutting-edge data science solutions with NEC’s global business clients, and was instrumental in the successful delivery of several high-profile analytical solutions that are now widely used in industry. Ryohei received his Ph.D. degree from the University of Tokyo in the field of machine learning and artificial intelligence.

    Ryohei Fujimaki is speaker of the following session:

    Michael Galvin
    Michael Galvin

    Executive Director of Corporate Training

    Michael leads Metis' Corporate Training business, which provides onsite and online training, custom learning paths, and content licensing in data science, data engineering, and artificial intelligence. He comes to Metis from General Electric where he worked to establish their data science strategy and capabilities for field services and to build solutions supporting global operations, risk, engineering, sales, and marketing. Prior to GE, Michael spent several years as a data scientist working on problems in credit modeling at Kabbage and corporate travel and procurement at TRX. Michael holds a Bachelor's degree in Mathematics and a Master's degree in Computational Science and Engineering from the Georgia Institute of Technology where he also spent 3 years working on machine learning research problems related to computational biology and bioinformatics. Additionally, Michael spent 12 years in the United States Marine Corps where he held various leadership roles within aviation, logistics, and training units.

    Robert Grossman
    Robert Grossman

    Managing Partner

    Analytic Strategy Partners LLC

    Robert L. Grossman is the Managing Partner of Analytic Strategy Partners LLC, which he founded in 2016. From 2002-2015, he was the Founder and Managing Partner at Open Data Group, which built and deployed predictive models over big data for Fortune 500 companies.  He is also the Frederick H. Rawson Professor of Medicine, a Professor of Computer Science, and the Jim and Karen Frank Director of the Center for Translational Data Science (CTDS) at the University of Chicago.

    Robert Grossman is speaker of the following session:

    Alwin Haensel, Ph.D.
    Alwin Haensel, Ph.D.

    CEO & Founder

    Alwin holds a Phd in Applied Mathematics and studied in London, Berlin and Amsterdam. His main fields of interest are the modeling of customer purchasing behavior, forecasting and optimization under uncertainty. He is the founder of the Analytics & Data Science consultancy Haensel AMS – Advanced Mathematical Solutions. Most recently, he concentrated on topics such as: omni-channel attribution, personalized recommendations, dynamic pricing, as well as specific data mining and forecasting projects.

    Alwin Haensel, Ph.D. is speaker of the following session:

    Robert M. Horrobin
    Robert M. Horrobin

    AVP of Advanced Analytics and Planning, Retirement Solutions Division

    Rob is an experienced change agent and leader of quantitative practices, specializing in the use of data and analysis to help organizations navigate periods of great change. As the AVP-Advanced Analytics and Planning, Rob is focused on analytics and data strategy for the Retirement Solutions Division of Pacific Life. Prior to joining Pacific Life, Rob oversaw the Insurance Operations Optimization & Decision Analytics practice at John Hancock. Rob started this internal consulting practice in 2015 after taking on increasing roles of responsibility in Reinsurance Finance, Corporate Development/Strategy, and Analytics. Before joining John Hancock in 2008, Rob had extensive experience in the shipbuilding industry with a focus on optimizing design for construction efficiency. Rob holds a Bachelor of Mechanical Engineering from the University of Delaware, as well as a Masters of Business Administration from Boston University.

    Robert M. Horrobin is speaker of the following session:

    Ramsey Kail
    Ramsey Kail

    Group Product Manager, Marketing

    Ramsey Kail is Overstock’s marketing Group Product Manager. In this role, he oversees the long-term vision for marketing technology and works alongside the business and product teams in the marketing department to build a world-class marketing technology stack. Ramsey is currently building a platform to deliver customers just what they are looking for at every impression.

    When Ramsey joined the Overstock team in November of 2017 as a product manager, he implemented many processes including cross-channel tracking for engagement data and dynamic cross-channel messaging campaigns. He also enabled a real-time push and email service to better serve customers personalized content quickly.

    Prior to joining Overstock, he worked at Urban Airship where he led the technical account management and the implementation engineering teams. He is a strong leader and is experienced in project management, enterprise software, customer relationship management, and database usage.

    Krishna Kallakuri
    Krishna Kallakuri

    President

    Krishna Kallakuri is President & founder of Loven Systems, the creators of diwo®.  Krishna’s visionary leadership and delivery of transformational BI and Analytics initiatives to leading Fortune 500's has landed the practice he has founded on the Midwest’s Fastest-Growing list. With 20 years of expertise in technology and executive management, Mr. Kallakuri’s passion for advanced analytics, cognitive technologies, and artificial intelligence has led to pioneering work—most recently the launch of diwo®, which was developed from the ground up as a “business-first” platform to address the adoption issues common with other transformative initiative

    Nav Kesher
    Nav Kesher

    Head of Data Sciences, Facebook Marketplace Experience

    Analytics Leader with 15+ years of experience in driving business solution through innovation, growth hacks and thought leadership in analytics technology/product domain. My work in Predictive Analytics, Informatics, and Visualization is widely recognized in the industry and I have been invited to conferences and top tier universities to speak on topics such as Growth Hacking, Big Data, Machine Learning, Artificial Intelligence and Data Visualization. I am also an active peer reviewer for top machine learning and artificial intelligence conferences and journals. Over the last 10 years, I have worked on launching mega-successful products at Amazon and Facebook.

    Nav Kesher is speaker of the following session:

    William Komp
    William Komp

    Senior Data Scientist

    Dr William Komp is a senior data scientist at SmarterHQ. In addition to marketing analytics he also has experience with healthcare analytics and is an adjunct professor of theoretical physics at the University of Louisville. He was technical editor for Applied Predictive Analytics: Principles and Techniques for the Professional Data Analyst by Dean Abbott for J. Wiley and Sons and a peer reviewer for the Canadian Journal of Physics.

    William Komp is speaker of the following session:

    Theresa Kushner
    Theresa Kushner

    Formerly Sr Vice President, Performance Analytics Group

    Theresa builds world-class teams that make data and the insight it provides vital to marketing and sales organizations. She has built teams across the high tech vertical from Texas Instruments to IBM, Cisco and VMware serving as both a manager and executive in marketing and today as VP of Enterprise Information Management. Theresa held Sr. Director Customer, Intelligence and various Marketing Management roles at IBM, Unify and Texas Instruments. One wish for MO is that all MO organizations should learn to capitalize on their unique view of the customer by working closely with their corporate IT and other business functions. Theresa's pastime is solving the NY Times Crossword puzzle every day.

    Theresa Kushner is speaker of the following session:

    Peter Lenz
    Peter Lenz

    Senior Geospatial Analyst

    Peter Lenz is a geographer and data scientist with Dstillery, a data insights company that builds behavioral profiles from billions of observations of human behavior every day using AI. Specializing in geographic big data and data storytelling, Peter can dive anywhere into the data pipeline from writing code, training models, to discovering insights in the data. He built up skill set working in the urban planning world, first at a consulting firm and later with an agency of the Department of the Interior. A native of New York City, today he and his family live in the Hudson Valley.

    Peter Lenz is speaker of the following session:

    Chris Long
    Chris Long

    Head of Solutions Altair Knowledge Works

    Chris has 20 years experience as a advanced predictive analytics leader including real-time data mining, text and optimization analytics.  Prior to Altair Chris has worked as a consultant for SAS and Infor Epiphany in the area of advanced and real-time predictive analytics with  global focus on the Retail Financial Services and Telecommunications businesses.

    Chris Long is speaker of the following session:

    Shingai Manjengwa
    Shingai Manjengwa

    Chief Executive Officer

    Shingai Manjengwa is the Chief Executive Officer at Fireside Analytics Inc., a Toronto based ed-tech start-up that offers customized, cloud-hosted, data science training and consulting services to corporates, governments, and educational institutions. Data Science courses by Fireside Analytics have over 285,000 registered learners on platforms like IBM's CognitiveClass.ai and Coursera.

    An IBM Influencer, author and NYU Stern alumni, Shingai is also the founder at Fireside Analytics Academy, a Ministry of Education inspected private high school in Canada (BSID: 886528). Fireside Analytics Academy only offers one course, IDC4U - Data Science. The course is completely online, and learners earn a credit towards their high school diploma. The course uses real-life case studies to combine 3 disciplines: Business Studies, Computer Programming, and Statistics to teach high school students how to solve problems with data. The curriculum is now available in 3 private high schools in Canada.

    Shingai Manjengwa is speaker of the following session:

    Haig Nalbantian
    Haig Nalbantian

    Senior Partner, Co-leader Mercer Workforce Sciences Institute

    Haig R. Nalbantian is a Senior Partner at Mercer and a founder/leader of Mercer's Workforce Sciences Institute. A labor /organizational economist, he has been instrumental in developing Mercer's unique capability to measure the economic impact of human capital practices. Those capabilities have been applied in numerous projects he has directed for leading companies in the U.S. and abroad across a broad range of industries, including energy, high technology, manufacturing, consumer products, financial services, media and information services, telecommunications, and professional services. He has also consulted to organizations in the public and not-for-profit sectors. In recent years, Haig has worked extensively with high-profile organizations in the Middle East, with particular focus on strategic workforce planning, workforce strategies and metrics.

    Haig came to Mercer from National Economic Research Associates which he joined in 1989. Earlier, he was on the faculty of economics at New York University and was a research scientist at its C.V. Starr Center for Applied Economics. He is an internationally recognized expert in incentives, human capital measurement and management and their links to organizational performance. He has published widely on these topics in books and articles in leading academic and professional journals, such as the American Economic Review, The Journal of Labor Economics, The Harvard Business Review, Compensation and Benefits Review, WorldatWork, among many others. His HBR article, "Making Mobility Matter," received the Academy of Management's 2010 award for "Outstanding Practitioner-oriented Publication" in 2009.

    Nalbantian co-authored the prize-winning book on human capital measurement and management, Play to Your Strengths (McGraw Hill, 2004). He is also editor of and chief contributor to the book, Incentives, Cooperation and Risk Sharing and is a frequent speaker before industry groups, professional associations and academic audiences across the globe. He led the research team and co-authored the 2012 World Economic Forum/Mercer study of global talent mobility, "Talent Mobility Good Practices: Collaboration at the Core of Driving Economic Growth."

    Haig earned his BA in English and Economics at New York University and his graduate degrees in economics from Columbia University. He is a member of the American Economic Association.

    Nick Newby
    Nick Newby

    Managing Partner

    Nick is Co-Founder of NuView Analytics, a Denver based analytics firm focused on accelerating speed to insights from data.  NuView works with companies to bring data to the forefront of business allowing for efficient data informed decision making.  Recent clients include Dell, Bain Capital, Rover, Galvanize and many high growth start-ups.

    Nick has over a decade of experience in data analytics and predictive modeling.  He has developed and optimized algorithmic models across disciplines and leads the Fractional Data Science practice at NuView.  His analytics interest doesn’t end with business cases, his personal passion is sports analytics, often developing and tweaking models for fantasy sports and March Madness. 

    Bob Nisbet
    Bob Nisbet

    Instructor

    Trained originally in Ecosystem Analysis & Modeling, Dr. Nisbet modeled forests at the University of California, Santa Barbara.  He moved to NCR in 1994, developing configurable data mining applications for customer Churn, Propensity-to-buy, and Customer Acquisition in Telecommunications.  He has worked also in Insurance, Banking, Credit, membership organizations (e.g. AAA), and Health Care industries. He is lead author of the award-winning Handbook of Statistical Analysis & Data Mining Applications (Academic Press, 2009, 2017), and a co-author and general editor of the award-winning "Practical Text Mining" (Academic Press, 2012) and Practical Predictive Analytics and Decisioning Systems in Medicine (Academic Press, 2015).  A new book on Effective Data Preparation is available from with Cambridge University Press.  Currently, he serves as an Instructor in the University of California at Irvine Predictive Analytics Certificate Program, teaching many online and on-campus courses each year in Effective Data Preparation and Predictive Analytics Applications.

    Bob Nisbet is speaker of the following session:

    Timothy Park
    Timothy Park

    Director Data Management

    Every year, corporations spend more than $250B on litigation in the US. The critical decisions - whether to litigate or settle or where to file suit - are often made the same way they were 100 years ago. To gain insight that companies could use to make informed decisions on legal proceedings, we built a predictive analytics engine. The approach, combining minimal viable prediction with data from thousands of patent appeal cases over 10 years, was developed to predict outcomes in future patent appeal cases. We think of it like Moneyball, but for a market 20x the size of Majors.

    Timothy Park is speaker of the following session:

    Brian Pearson
    Brian Pearson

    CIO

    Brian Pearson has led dynamic IT organizations for startup, growth, franchise, and mature public restaurant companies. Brian’s IT development began in the US Army, where he studied cryptography and telecommunications management. He has also led the technology organizations for Ruby’s Diner, BJ’s Restaurants, and recently STACKED Restaurants, LLC.

    At both Ruby’s Diner and BJ’s Restaurants, Brian had to build solutions from the ground up, integrating POS, KDS, HRIS, ERP and numerous other in store and above store technologies to achieve the company's strategic agenda. At BJ’s he also led the Sarbanes-Oxley, and PCI implementations from ground up.
    Brian is an IT leader with a foundation in, and bias towards, Operations.  His specialties include Mobile Strategy and Development, Business Process Automation, Product Integration and Analytics.

    Brian Pearson is speaker of the following session:

    Jennifer Prendki
    Jennifer Prendki

    VP of Machine Learning

    Jennifer has spent most of her career creating a data-driven culture wherever she went, succeeding in sometimes highly skeptical environments. She is particularly skilled at building and scaling high-performance Machine Learning teams, and is known for enjoying a good challenge. Trained as a particle physicist, she likes to use her analytical mind not only when building complex models, but also as part of her leadership philosophy. She is pragmatic yet detail-oriented. Jennifer also takes great pleasure in addressing both technical and non-technical audiences at conferences and seminars, and is passionate about attracting more women to careers in STEM.

    Nick Pylypiw
    Nick Pylypiw

    Director of Data Science

    Nick Pylypiw is a Manager of Data Science at Elicit, a high-end boutique consultancy that helps clients leverage analytics and technology to drive business value.  The company’s Fortune 500 clients include Southwest Airlines, HomeAway, Fossil, GameStop, Sephora, BevMo! and Pier 1 Imports.  Prior to Elicit, he honed his analytics skills at Lowe's Home Improvement (Manager of Pricing and Marketing Analytics) and Cardinal Solutions (Principal Data Science Consultant).  He lives in Raleigh, North Carolina.

    Nick Pylypiw is speaker of the following session:

    Seth Quillin
    Seth Quillin

    Sr. Manager of Sales Analytics

    Seth Quillin is the Sr. Manager of Sales Analytics at Southwest Airlines where he oversees teams of sales analysts whose primary focus is on ingesting large amounts of data and translating the analytics into meaningful insights that the account management teams can leverage to deepen engagement with their corporate partners.  In his 14 years with Southwest, Seth has been a part of both operations and business planning teams, including Marketing, Network Planning, and Commercial Planning.  His primary concentration in each of these roles has been on implementing new uses of data to launch and drive new market development or leading business unit turnarounds.

    Seth Quillin is speaker of the following session:

    Lily Quinto-Banton
    Lily Quinto-Banton

    Associate Director of Data Science

    Lily is an Associate Director of Data Science at Humana Military, where she uses predictive analytics and visualization to help business leaders make better strategic decisions and to improve the customer journey for Humana Military's beneficiaries, who are active duty service members of the military and their dependents.  Previously, she was an Analytics Lead at Barclays Investment Bank, where she led the proof of concept and implementation of various cross-functional initiatives ranging from a recommendation system for the Sales team to a self-service Tableau platform for the Risk and Finance teams.  When not immersed in data, Lily thinks about ticking off the next item on her growing bucket list.  Next up: training for her first sprint triathlon.

    Lily has a bachelor's degree in Computer Science from the University of the Philippines and a Master of Science in Business Analytics from New York University's Stern School of Business.

    Tauseef Rahman
    Tauseef Rahman

    Principal, Workforce Strategy & Analytics

    Tauseef Rahman is a principal in Mercer's Workforce Strategy & Analytics practice. He is responsible for developing and delivering projects which enable organizations for growth through the use of analytics which combine engagement, career, and rewards information.

    Currently based in San Francisco, he has also been based in Mercer's Los Angeles, Dubai, Melbourne and Houston offices.

    His recent projects include the integration of an annual pay equity analysis into a company’s yearly business cycle for a global consumer technology company, and an employee survey using conjoint analysis which resulted in changes to parental benefits at a global financial services and investments company.

    Tauseef has presented at industry conferences, including WorldatWork Total Rewards and National Association of Stock Plan Professionals on the use of analytics in pay, and regularly speaks at forums on the future of work and the implication of artificial intelligence on the workforce.

    Tauseef holds a bachelor's degree in economics from Claremont McKenna College, in Claremont, California.

    Steven Ramirez
    Steven Ramirez

    CEO

    Steven J. Ramirez is the chief executive officer of Berkeley, Calif.-based Beyond the Arc, Inc., a firm recognized as a leader in helping companies transform their customer experiences by leveraging advanced analytics.

    In addition to developing and executing the vision for Beyond the Arc, Ramirez leads teams of data and strategy consultants committed to client success. They analyze customer and social media data, combined with text analysis, to drive customer growth, improve customer retention, understand service breaks and build stronger customer loyalty.

    Prior to leading Beyond the Arc, Ramirez served as an executive with Time Warner, where he was responsible for creating and successfully implementing marketing and corporate development strategies.

    Ramirez earned a bachelor's degree and master's in Business Administration from the University of California at Berkeley. He as also created and taught courses in business management for UC Berkeley and been a guest speaker at the university's Haas School of Business.

    Karl Rexer
    Karl Rexer

    President

    Karl Rexer founded Rexer Analytics in 2002.  He and his teams provide predictive modeling and analytic consulting to clients across many industries.  Recent clients include PwC, Boston Scientific, Redbox, ADT
    Security, Interamericana University, MIT, A.S.Watson, and many smaller companies.  In addition to leading client engagements and hands-on data work, Karl is a predictive analytics evangelist, frequently speaking at conferences, colleges, and other events.  He also serves on Advisory Boards for the Business Analytics programs at both Babson College and Bentley University.  Several software companies have sought Karl's input, and in 2008 and 2010 he served on SPSS's (IBM) Customer Advisory Board.  He also served 11 years on the Board of Directors of the Oracle Business Intelligence, Warehousing, & Analytics (BIWA) Special Interest Group.  Since 2007 Rexer Analytics has conducted surveys of analytic professionals,  asking them about their algorithms, tools, behaviors and views.  Summary reports from these surveys are available as a free download from the Rexer Analytics website.

    Prior to founding Rexer Analytics, Karl held leadership positions at several consulting firms and two multi-national banks.  Karl holds a PhD from the University of Connecticut.

    Karl Rexer is speaker of the following sessions:

    Anne G. Robinson
    Anne G. Robinson

    Chief Strategy Officer

    As Chief Strategy Officer, Anne is responsible for accelerating Kinaxis strategy development to add further value to customers. She and her team collaborates closely with customers, external stakeholders and the rest of the senior executive team to drive the strategic roadmap, thought leadership and identify emerging technologies and new industry opportunities.

    A proven leader in analytics and digital transformation, with expertise in operations, supply chain, and strategy, Anne has extensive experience in managing supply chains for complex, global organizations. As Executive Director, Global Supply Chain Strategy, Analytics and Systems at Verizon, Anne was responsible for the strategic vision of the company’s global end-to-end supply chain, driving excellence through world-class data-analytics, process innovation and employee empowerment. Before Verizon, Anne spent several years at Cisco where she was responsible for managing advanced analytics, business intelligence and performance management teams.

    Anne is a past president of INFORMS (the Institute for Operations Research and Management Sciences), a seasoned industry speaker and has served on several advisory boards. Originally from St. John's, Newfoundland and Labrador, Anne has a BScH from Acadia University, MASc from the University of Waterloo and an MSc and PhD in Industrial Engineering from Stanford University.

    Anne G. Robinson is speaker of the following session:

    Chris Robison
    Chris Robison

    Director of Data and Audience

    Chris Robison serves as Director of Data and Audience working to unite data flow and Data Science for a cross-channel marketing experience driven by real-time data. Previously, as the Lead Data Scientist for Digital Marketing and Fraud Prevention at Overstock, he and his team utilized big data and machine learning to create personalized shopping experiences for customers. He works extensively on display, PLA, and Paid Keywords leveraging modeling techniques from classical time series to cutting-edge Artificial Intelligence.

    Prior to joining Overstock in 2016, Chris gained widespread experience at early-stage startups using Spark and building out data science frameworks and solutions. He graduated from the University of Utah with dual Masters Degrees in Computer Science and Statistics.

    Wolf Ruzicka
    Wolf Ruzicka

    Chairman of the Board

    Wolf Ruzicka is Chairman of the Board for Ex Parte. Wolf’s keen vision and strategic direction has been instrumental in driving the success of Ex Parte and EastBanc Technologies. Wolf joined the leadership team at Ex Parte in 2019 and EastBanc Technologies in 2007.

    Wolf is an entrepreneur, technology advocate, and mentor. He serves on numerous boards and groups, including the Board of Halcyon House, Board of the Center for Innovative Technology, Questback, Microsoft Customer Advisory Board for Microsoft Azure and the World Economic Forum's “Partnering for Cyber Resilience” initiative. Prior to joining the EastBanc Technologies team, Wolf served as President of APIphany (now part of Microsoft) and held leadership positions with MicroStrategy, Mercedes Benz, Lufthansa, and more. Wolf holds an MBA from Ingolstadt School of Management.

    Wolf Ruzicka is speaker of the following session:

    Allan Sammy
    Allan Sammy

    Director, Data Science and Audit Analytics

    Allan Sammy, M.Sc., CPA, CIA is the Director, Data Science and Audit Analytics at Canada Post . He works with Internal Audit clients across the corporation to provide assurance and advisory services relating to advanced analytics and data modeling and leads the development of big data capabilities and utilization as well as the coordination of IA department analytic initiatives. He has a Master's degree in Predictive Analytics from Northwestern and over 20 years of experience in Risk Management, Investigations and Internal Audit. Prior to joining Canada Post he was Director, Fraud Risk Management at the Ontario Lottery and Gaming Corporation and the Head of Internal Audit at the Canadian Air Transport Security Authority (CATSA). He has published articles on Auditing Analytic Models (IA Magazine) and using Artificial Intelligence and Neural Network Models for Fraud Ddetection (Certified Fraud Examiners (CFE) magazine online).

    Allan Sammy is speaker of the following session:

    Dan Sarkar
    Dan Sarkar

    Director of Data Science

    Insight Que Solutions

    Dan has 15+ years experience in Data Science, Business Intelligence, Data Analytics, and developing Data-Driven Strategy for organizations. In addition, Dan has led and managed Data Science and Analytics practices for organizations. Dan has worked in retail, Finance, and Auto leading analytics and Data Science and modeling practices supporting business strategies for in-house and consultations for the client such as Four Seasons, AAA, Verizon, etc.  Dan has a Ph.D. in Media Information Studies from Michigan State University.

    Dan Sarkar is speaker of the following session:

    Mark Shafer
    Mark Shafer

    Senior Vice President Revenue Management and Analytics

    Mark W. Shafer, Senior Vice President of Revenue Management & Analytics for Disney Parks, Experiences & Consumer Products has been a Disney cast member for 23 years. 

    His responsibilities include leading an Internal consulting team responsible for supporting clients across The Walt Disney Company including Parks and Resorts, Media Networks  (e.g., ABC, ESPN, Disney Channel, A&E Networks etc.), and Studio Entertainment (The Walt Disney Studios, Disney Theatrical).  This support encompasses system development leveraging technology, data analytics, optimization, statistical and econometric modeling to explore opportunities, shape business decisions and drive business value.  These solutions span across business problems such as Marketing ROI, Ad Sales Optimization, B to B and B to C pricing, revenue management, ratings forecasting, digital viewership forecasting, demand simulation, and personalization. 

    Mark spent 12 years in the airline industry with People Express Airlines and Continental Airlines, holding positions in Domestic and International Pricing/Revenue Management. 

    Mark Shafer is speaker of the following session:

    Mohammad Shokoohi-Yekta
    Mohammad Shokoohi-Yekta

    Former Senior Data Scientist, Apple, and joining Microsoft soon

    Mohammad is a Senior Data Scientist and Lecturer at Stanford University, and the co-founder of MedicalBlockchain.ai. He worked at Apple in California for 4 years, Samsung, Bosch, General Electric Research and UCLA on predictive modeling projects. He received a PhD in Computer Science from the University of California, Riverside and B.Sc. from University of Tehran. Mohammad is the author of the book, ‘Applications of Mining Massive Time Series Data'. He has also been a keynote speaker at more than 30 Data Summits/Conferences around the globe.

    Mohammad Shokoohi-Yekta is speaker of the following session:

    Marc Smith
    Marc Smith

    Chief Social Scientist

    Connected Action Consulting Group

    Dr. Marc A. Smith is a sociologist specializing in the social organization of online communities and computer mediated interaction. Smith leads the Connected Action consulting group. Smith co-founded the Social Media Research Foundation (http://www.smrfoundation.org/), a non-profit devoted to open tools, data, and scholarship related to social media research. He contributes to the open and free NodeXL project (http://nodexl.codeplex.com) that adds social network analysis features to the familiar Excel spreadsheet. NodeXL enables social network analysis of email, Twitter, Flickr, WWW, Facebook and other network data sets. Along with Derek Hansen and Ben Shneiderman, he is the co-author and editor of Analyzing Social Media Networks with NodeXL: Insights from a connected world, from Morgan-Kaufmann which is a guide to mapping connections created through computer-mediated interactions. Smith has published research on social media extensively, providing a map to the landscape of connected communities on the Internet.

    Marc Smith is speaker of the following session:

    Peter Spangler
    Peter Spangler

    Data Scientist

    Peter is an entrepreneurial minded data scientist whose expertise in building analytic solutions and insights to tell data driven stories have impacted organizations including Alibaba, Citrix and Lyft. Peter has lead experimentation design and analytics projects focused on retention, user acquisition and channel optimization in the SaaS and rideshare spaces. The solutions he has produced include incrementality testing, segmentation, ML models and fraud. Peter is a passionate advocate for building analytics teams in cross-functional environments.

    Patrick Surry
    Patrick Surry

    Chief Data Scientist

    As Chief Data Scientist at Hopper, Patrick Surry analyzes flight data to help consumers make smarter travel choices. Patrick is recognized as a travel expert and he frequently provides data-driven insight on the travel industry and trends.

    Patrick’s research and commentary have been featured in outlets such as New York Times, USA Today, Bloomberg Businessweek, TIME, and many others. Patrick also regularly appears on various broadcast stations to offer travel insight and tips.

    Patrick holds a PhD in mathematics and statistics from the University of Edinburgh, where he studied optimization based on evolutionary algorithms, following an HBSc in continuum mechanics from the University of Western Ontario.

    You can also follow Patrick on Twitter at @PatrickSurry.

    Patrick Surry is speaker of the following session:

    Nathan Susanj
    Nathan Susanj

    Vice President, Data Science Manager

    Nathan Susanj is a data scientist on the Wells Fargo Enterprise Analytics and Data Science team. He leads a small team as head of Natural Language Processing (NLP) and Speech Capabilities Development, where he is focused on building out Wells Fargo's capabilities in areas related to NLP, deep learning and data science product design. Nathan holds a Masters in Predictive Analytics from Northwestern University and is working on his second Masters in Computer Science from Georgia Tech. He has been with Wells Fargo for the past five years and worked in marketing analytics prior to his current role.

    Nathan Susanj is speaker of the following session:

    James Taylor
    James Taylor

    CEO

    James Taylor is the CEO of Decision Management Solutions and is a leading expert in how to use business rules and analytic technology to build decision management systems. He is passionate about using decision management systems to help companies improve decision-making and develop an agile, analytic and adaptive business. He provides strategic consulting to companies of all sizes, working with clients in all sectors to adopt decision-making technology. James is an expert member of the International Institute for Analytics and is the author of multiple books and articles on decision management, decision modeling, predictive analytics and business rules, and writes a regular blog at JT on EDM. James also delivers webinars, workshops and training. He is a regular keynote speaker at conferences around the world.

    Tom Warden
    Tom Warden

    SVP, Chief Data and Analytics Officer

    Thomas M. Warden joined EMPLOYERS as Senior Vice President, Chief Data and Analytics Officer on May 22, 2017. He is responsible for data science, business intelligence and data governance across the company. He works closely with business partners and information technology to improve revenues and profitability through the application of predictive modeling, analytics and business intelligence to decision making. Mr. Warden brings to EMPLOYERS 30 years of insurance industry experience from Allstate, AIG and private consulting. Mr. Warden holds a Bachelor of Science degree in Accounting from The Ohio State University and an MBA from Harvard University. He is a Chartered Financial Analyst and is a member of the board of directors of Junior State of America.

    PAW Financial

    Gary Anderberg
    Gary Anderberg

    SVP of Claim Analytics Product Management

    Gary Anderberg has worked in developing predictive analytic applications for workers' compensation insurance since 2007. He is a recognized expert in the use of PA outputs for guiding the handling of complex claims to drive improved claim outcomes. He is the "godfather" of the Waypoint system and its key role in improving overall decision making and the more effective use of claim resources at Gallagher-Bassett. He will speak to the business case for a system like Waypoint and the corporate cultural and practice issues involved in socializing potentially complex PA system outputs with deeply entrenched work patterns at the end user level. He knows first-hand how the most brilliant PA applications can founder when output and practice cultures clash.

    Gary Anderberg is speaker of the following session:

    Munish Arora
    Munish Arora

    Former Senior Director, California State Compensation Insurance Fund, now Founder and Principal, Analytics Ark Consulting

    Mr Arora has 18+ years of experience in data and analytics function with focus on financial service and insurance industry. He led a variety of roles as leader of data products, reporting, analytics  and predictive modeling services. With a deeper hands on  predictive modeling experience, passion for mathematics and statistics,  and knowledge of wide variety of software, Mr. Arora is an expert in founding,  growing and transforming enterprise analytic capabilities.

    Munish Arora is speaker of the following session:

    Dyann Daley MD
    Dyann Daley MD

    Founder and CEO

    Dr. Dyann Daley, MD,  is an experienced pediatric anesthesiologist and child maltreatment prevention executive, specializing in location-based predictive modeling, systems thinking, and development of practical solutions for community-influenced children’s issues.  

    Dr. Daley founded and was the executive director of Cook Children’s Center for Prevention of Child Maltreatment in Fort Worth, Texas where she demonstrated the effectiveness of place-based predictive analytics for child maltreatment using spatial risk modeling.  She went on to found Predict Align Prevent, a national nonprofit advancing geospatial machine learning predictions in child welfare, strategic alignment of prevention resources, and implementation of accountable prevention programs to prevent child maltreatment before it happens.  Her organization is committed to open science for social good. 

    Dyann Daley MD is speaker of the following session:

    Brian Duke
    Brian Duke

    Data Modeling Director

    Brian Duke is a Director of Fraud and Identity Solutions at Experian Decision Analytics and has 12 patents related to modeling enterprise data either issued or pending. He provides technical leadership for data scientists and analysts who bring innovative identity protection and fraud detection products and custom analytical solutions to the North American market. Brian is expert in models and business strategies that integrate a large variety of data assets -- spanning credit and noncredit data, biometrics, behavioral metrics, email and phone intelligence, remote document verification, the dark web and more. He received both his Bachelor's degree in Mathematics and his Master's degree in Statistics from the University of California, San Diego and continues to reside in San Diego.

    Chenyu (Jim) Gao
    Chenyu (Jim) Gao

    Advisory Manager, Machine Learning/Artificial Intelligence Accelerator

    Jim is a consultant with many years of industrial experience, and currently is an Advisory manager from PricewaterhouseCooper (PwC), serving cross-sector, cross-Industry analytics practice to deliver statistical, machine learning, artificial intelligence consulting and solutions. He played different important roles in financial services, healthcare, hospitality and entertainment sectors which span across operations, marketing, IT and risk, etc. He has background in various machine learning algorithms and multiple AI/big data applications. 

    Throughout the past few years, Jim's experience includes:

    • Built credit risk models to predict customer likelihood of default and revenue impact for fortune 100 fintech clients
    • Developed marketing response model (to increase response rate) and revenue model (to identify 'profitable' customers) for a highly reputable marketing leader
    • Analyzed Customer Elasticity to promotional offers and advised effective campaign strategy for a world-prestigious casino resort

    Jim holds his master degree in Applied Statistics from Cornell University.

    Keith Higdon
    Keith Higdon

    President

    Keith Higdon serves as President of ESIS, Inc., with overall management responsibility for this business. He is based in Chicago.

    ESIS is one of the industry’s oldest and largest risk management services companies, providing claim and risk management services to a wide variety of commercial clients in the U.S. and globally. ESIS maintains a sharp focus on helping its clients manage their total cost of loss, offering comprehensive and flexible programs and innovative approaches to claims administration. ESIS is committed to achieving measurable results through consistently superior execution, and employing data analytic and predictive modelling capabilities to track progress.

    Previously, Mr. Higdon served as Senior Vice President of Partnership Services for ESIS where he oversaw the management and development of client partnerships across all ESIS lines of business. In addition, he has accountability for new client implementations, ESIS University, ESIS construction practice, and ESIS global initiatives. 

    Mr. Higdon has 20 years of industry experience. He began his career in consulting conducting and managing auditing, program evaluation, and program design projects for workers compensation and integrated disability management programs to large employers and service providers. He left consulting for the third-party administrator (TPA) space where he held a variety of positions under information technology and client services developing and delivering differentiated products and services to clients. With a strong focus on information delivery, his previous TPA experience culminated in the management of four departments focusing on client reporting, predictive modeling, client-facing system enhancement and support, and loss control consulting and OSHA administration. Mr. Higdon holds two Bachelor of Science degrees in the social sciences from Northern Illinois University and a master’s degree in information technology and management from Illinois Institute of Technology. He is a board member, and former Chairman, for the Center for Employee Health Studies associated with the School of Public Health at the University of Illinois at Chicago. Mr. Higdon supports industry development through participation in regional and national conferences and has published on key topics including integrated disability management, the data lifecycle, and predictive modeling over the years. He is also a volunteer mentor and guest speaker at YearUp, a community college based program for economically disadvantaged students.

    Keith Higdon is speaker of the following session:

    Richard Lee
    Richard Lee

    Sr Data Scientist

    Richard Lee has been part of Manulife/ John Hancock for 14 years in various leadership and analytics roles. Currently Richard is Sr Data Scientist managing Quantitative Data Mining and Analytics group. Last year Richard was one of the top 5 speakers at PAW Financial in Las Vegas.

    Richard Lee is speaker of the following session:

    Nick Magnusson
    Nick Magnusson

    VP Product/Engineering

    As Vice President of Product & Engineering at Big Squid Nick oversees the development and execution of the firm's machine learning software platform, Kraken. He has been with Big Squid since 2015, holds the Chartered Financial Analyst designation, AB from Dartmouth College, and is a former member of the Chicago Quantitative Alliance. When he's not at work he plays soccer, loves cheering at his son's snowboarding competitions and lives in Utah with his wife & two children.

    Information about Nick Magnusson's session will follow soon.

    Olaf Menzer
    Olaf Menzer

    Senior Data Scientist, Decision Analytics

    Olaf serves as a Senior Data Scientist in the Decision Analytics team at Pacific Life in Newport Beach, California. He focuses on the design of data driven approaches to improve business decision making and customer experience. Most frequently, he uses tools from time series analysis, machine learning automation and data visualization. To maximize the performance of his models and the measurable impact of his analyses, he enjoys working with internal and external collaborators to formalize facts, to calculate new metrics and to explore new data sources.

    Olaf started his career in academia, implementing scientific web tools and conducting research based on ecological, meteorological and geographical data. He has also worked as a Predictive Analyst in the Global Analytics department at Ingram Micro in Irvine, California. He received a M.Sc. in Bioinformatics from Friedrich Schiller University in Germany and a Ph.D. in Geographic Information Science from University of California, Santa Barbara.

    Sean Naismith
    Sean Naismith

    GM & Head Of Analytics Services

    Sean joined Enova as Head of Analytics Services for Enova Decisions in 2016. Prior to working at Enova, Sean served as Senior Director of Business Analytics for Leapfrog, where he led the development of the company’s predictive analytics capabilities. Before Leapfrog, Sean served as Director of Strategic Intelligence for TrendPointers, LLC, and Associate Portfolio Manager at Sarasota Capital Strategies. Sean is a CFP® certificant and holds the CMT designation. He received his B.S. in finance from the University of Illinois at Chicago and Financial Planning Certificate from Northwestern University.

    Sean Naismith is speaker of the following session:

    Mei Najim
    Mei Najim

    CSPA, Founder and Lead Data Scientist

    Advanced Analytics Consulting Services, LLC

    Mrs. Mei Najim, CSPA, Founder and Lead Data Scientist is the Co-Chair of PAW for Financial.  She provides advanced analytics consulting services including developing full life cycle predictive modeling processes from raw data exploration to model implementation into IT data systems, thorough documentation, and related training.  Mei has over 14 years hands-on advanced analytics and machine learning experience dealing with large and complex data sets in various types of predictive analytics settings (claims, underwriting, pricing).  She also has extensive traditional actuarial analysis experience including pricing, reserving, and research & development in the insurance industry. She has presented at many conferences to share and discuss her papers and expertise in predictive analytics with industry analytics experts. 

    Mei holds a Bachelor of Science in Actuarial Science from Hunan University and two Master of Science degrees, in Applied Mathematics and in Statistics, from Washington State University.  Mei is a member of the American Statistical Association and a Certified Specialist in Predictive Analytics (CSPA) of the Casualty Actuarial Society.

    Yulin Ning
    Yulin Ning

    Senior Director in Global Decision Management

    Yulin Ning is a Senior Director in Global Decision Management, a global strategy and analytic division in Citi's Global Consumer Bank. He currently leads next generation analytics efforts within Platform and Capability function, acting as a chief data scientist, aiming to accelerate global adoption of big data and machine learning for creative business solutions. He developed expertise in digital (clickstream), text mining, voice analytics, big data, and machine learning. His most recent interests are on deep learning and artificial intelligence.

    Over 18 years at Citi, Yulin has been actively involved in building some of the key decision management disciplines in the areas of price management, stress test capabilities, optimization, big data / machine learning roadmap, and data scientist disciplines. He worked with a range of financial and technology companies, vendors, and universities specializing in analytics and emerging technologies. He holds a Ph.D. in Agricultural Economics.

    Information about Yulin Ning's session will follow soon.

    Zeydy Ortiz
    Zeydy Ortiz

    CEO

    DataCrunch Lab

    Dr. Zeydy Ortiz is the co-founder & CEO of DataCrunch Lab, LLC.  She has been helping teams and organizations transform data into value across many industries including IT,  financial, retail, and the manufacturing sectors.  Her team built an innovative, award-winning digital assistant that was recognized as 'Highest Potential Value to Manufacturers' for increasing visibility of real-time production and plant operations. 

    She started her career as a Performance Engineer at IBM building predictive models to inform business strategy.  She worked on multiple projects focused on improving performance & efficiency.  She earned recognition for innovation on Smarter Planet/IoT solutions and for her industry contributions defining resource efficiency metrics. Dr. Ortiz obtained her bachelor's degree from the University of Puerto Rico, master's from Texas A&M University, and Ph. D. in Computer Science from North Carolina State University.

    Andreas Petrides
    Andreas Petrides

    Quantitative Researcher

    Andreas is working as a Quantitative Researcher at Goldman Sachs Quantitative Execution Services, with an emphasis in machine learning techniques for execution algorithms. Andreas has received a PhD in Information Engineering at the University of Cambridge, focusing on the interface of stochastic control theory and Bayesian machine learning, where he developed graph theoretic tools for predicting the shapes of the probability distributions to arise in the observable time-series due to the underlying non-linear stochastic interconnections. Andreas’ teaching experience included several engineering undergraduate courses, including Inference and Machine Learning, Linear Algebra, Probability, Control and Signal Processing. During his PhD, he has also worked at Informetis Europe as a Machine Learning Algorithm Engineer, developing efficient Bayesian inference techniques for smart electricity meter applications. Andreas also holds a BA and an MEng degree in Electrical and Information Sciences from Trinity College, University of Cambridge, during which he has received the G-Research and The Technology Partnership (TTP) awards, while his Master’s thesis was done in collaboration with British Cycling, developing a racing cyclist fitness predictor. 

    Andreas Petrides is speaker of the following session:

    Bill Rachilla
    Bill Rachilla

    Product Manager

    Bill is responsible for the diwo product strategy and development. He is a graduate of Lawrence Technological University and brings more than 20 years of software product management experience in the retail, automotive, manufacturing and financial services verticals

    Bill Rachilla is speaker of the following session:

    Simon Ringuette
    Simon Ringuette

    Senior Architect

    Simon has been working at Trisotech for the last 15 years where he leads the software development team responsible for producing its SaaS digital transformation and automation suite. He also has been deeply involved the standardization of the Business Process Management domain by working on standards such as BPMN, CMMN, DMN, XPDL and BPSim. He received a bachelor’s degree in Software Engineering and is also an OMG Certified expert in BPM at the advanced level in both the business and technical tracks. Simon currently works at the Trisotech head office in Montreal, Quebec, Canada.

    Simon Ringuette is speaker of the following session:

    Rob Rolleston
    Rob Rolleston

    Manager, Data Science

    Rob Rolleston is the Manager, Data Science at Paychex. Previously Rob worked at Xerox in the areas of Information Visualization, Strategy & Planning, and Color Management. He has 47 issued patents, and numerous technical publications and presentations.

    He received his B.S. in Computational Physics from Carnegie-Mellon University, and his M.S. and Ph.D. in Optics from the University of Rochester. Rob recently completed an MPS Degree in Information Visualization from Maryland Institute College of Arts, and is now an instructor for the program where he teaches statistics and data analysis. Rob has also been an adjunct professor and instructor at Rochester Institute of Technology. He has served on the Executive Advisory Board for the New York State Center for Electronic Imaging Systems, the Advisory Board for the Rochester Institute of Technology Center for Imaging Science, and was chair of the Xerox University Affairs Committee.

    Rob Rolleston is speaker of the following session:

    Mohammad Shokoohi-Yekta
    Mohammad Shokoohi-Yekta

    Former Senior Data Scientist, Apple, and joining Microsoft soon

    Mohammad is a Senior Data Scientist and Lecturer at Stanford University, and the co-founder of MedicalBlockchain.ai. He worked at Apple in California for 4 years, Samsung, Bosch, General Electric Research and UCLA on predictive modeling projects. He received a PhD in Computer Science from the University of California, Riverside and B.Sc. from University of Tehran. Mohammad is the author of the book, ‘Applications of Mining Massive Time Series Data'. He has also been a keynote speaker at more than 30 Data Summits/Conferences around the globe.

    Mohammad Shokoohi-Yekta is speaker of the following session:

    Michael Steliaros
    Michael Steliaros

    Managing Director

    Michael Steliaros is the global head of Quantitative Execution Services at Goldman Sachs. He is responsible for the research, development and implementation of quantitative processes for portfolio and electronic trading as well as managing the bank's relations with the quantitative client base. Previously, Michael held a variety of senior roles at BofAML in London and New York, most recently running the global agency portfolio trading and quantitative equity businesses. Earlier in his career, he spent a decade on the buy-side (most notably BGI and Winton) building quant stock-selection models and managing global market neutral equity portfolios. Michael received a bachelor's degree in Economics & Econometrics from the University of Nottingham, and an MSc and PhD in Finance from City University (CASS) Business School in London

    Michael Steliaros is speaker of the following session:

    Nathan Susanj
    Nathan Susanj

    Vice President, Data Science Manager

    Nathan Susanj is a data scientist on the Wells Fargo Enterprise Analytics and Data Science team. He leads a small team as head of Natural Language Processing (NLP) and Speech Capabilities Development, where he is focused on building out Wells Fargo's capabilities in areas related to NLP, deep learning and data science product design. Nathan holds a Masters in Predictive Analytics from Northwestern University and is working on his second Masters in Computer Science from Georgia Tech. He has been with Wells Fargo for the past five years and worked in marketing analytics prior to his current role.

    William WIlkins
    William WIlkins

    Chief Risk and Data Analytics Officer

    William (Bill) Wilkins is a multi-purpose actuary for the Safety National Casualty Corporation(SNCC). He is a CERA, FCAS, ASA and MAAA.  While his main focus is on Enterprise Risk Management and Predictive Analytics, Bill has experience in pricing insurance, reinsurance, credit risk products, risk management, reserving and broker management.  He is currently Co-Chair of the SNCC Data Analytics Committee.  The Data Analytics Committee is a cross-functional group tasked with all aspects of data for SNCC.  The Committee works on data to be collected, how it is collected, where it is collected from, how it stored, standards and practices of usage, etc.  This includes the populating items like benchmarking reports or how best to create and use predictive analytics.  The goal is to establish a process that is repeatable and adaptable so SNCC can deliver both internally and externally.

    William WIlkins is speaker of the following session:

    Theodore Ziton
    Theodore Ziton

    Vice President - Risk Analytics

    Ted Ziton has worked in various aspects of analytics for insurance carriers, brokerages and managed care organizations for the last twenty five years. He joined Gallagher-Bassett in 2015 and is the point man for GB's first AI predictive system, Waypoint. The original Waypoint application was designed to help adjusters establish and monitor claim reserves on complex claims. Since Ted took the helm, Waypoint has gone through multiple upgrades and new functionalities have been added or are currently in development. Ted has the primary responsibility for turning the multiple predictive outputs of Waypoint into easily understood information which can be used by adjusters to make better decisions in handling claims and to better understand the cost drivers of individual claims.

    Theodore Ziton is speaker of the following session:

    PAW Healthcare

    Cheong Ang
    Cheong Ang

    Workflow AI Project Lead

    Cheong has been a hands-on leader in Web, Data, and Healthcare IT for 2 decades. His work on Web interactivity at UCSF Medical Center resulted in patented technologies licensed to leading firms including Microsoft, and Oracle.  At IBM, he led teams in developing software for predictive analytics in E-Commerce and Knowledge Management, and implementing IT projects for clients in Healthcare and Financial industries.  He has been in director positions in charge of operating a targeted advertising system, and building and marketing a broadband TV delivery system. He has also been engaged for business and innovation strategy consulting at Konica Minolta, and San Francisco General Hospital.  Most recently, he brought together a team to bridge the gap between AI and the frontline workers with a SaaS system that enables smart collaborations and continuous learning toward organizational goals.  The system is currently serving tens of thousands of patients at multiple Healthcare organizations.

    Recognitions: Nasdaq Milestone Maker, StartupHealth Health Transformer, UCSF Department of Medicine 2016 Tech Challenge Awardee, IDG CIO.com Contributor.

    Dyann Daley MD
    Dyann Daley MD

    Founder and CEO

    Dr. Dyann Daley, MD,  is an experienced pediatric anesthesiologist and child maltreatment prevention executive, specializing in location-based predictive modeling, systems thinking, and development of practical solutions for community-influenced children’s issues.  

    Dr. Daley founded and was the executive director of Cook Children’s Center for Prevention of Child Maltreatment in Fort Worth, Texas where she demonstrated the effectiveness of place-based predictive analytics for child maltreatment using spatial risk modeling.  She went on to found Predict Align Prevent, a national nonprofit advancing geospatial machine learning predictions in child welfare, strategic alignment of prevention resources, and implementation of accountable prevention programs to prevent child maltreatment before it happens.  Her organization is committed to open science for social good. 

    Dyann Daley MD is speaker of the following session:

    Jeff Deal
    Jeff Deal

    Chief Operating Officer

    Jeff Deal is the Chief Operating Officer for Elder Research, the nation's leading data science, machine learning, and artificial intelligence consultancy. He has also been the Chair of the Predictive Analytics World for Healthcare conference since its inception in 2014.  In his role at Elder Research, Jeff oversees the operations of the business including contracting, finances, regulatory/legal issues and human resources. Jeff has worked with dozens of clients to understand their business needs and organizational goals and, in the process, has gained insight into organizational obstacles to successful data analytics engagements. His talk on the Top 10 Data Mining Business Mistakes has been well received at prior Predictive Analytics World conferences. In 2016, Jeff and the Elder Research President & CEO, Gerhard Pilcher, published, Mining Your Own Business: A Primer for Executives on Understanding and Employing Data Mining and Predictive Analytics.

    Jeff has more than 30 years of experience in business operations, planning, and government relations, primarily in the health care industry. Prior to ERI, he was the president of a health planning consulting business that assisted hospitals and physicians with operational analysis, forecasting, and navigating through complex regulatory processes. Before that, Jeff spent 16 years in hospital administration with responsibility for clinical, support, and planning functions. Jeff has a Master of Health Administration degree from Virginia Commonwealth University and an undergraduate degree from the College of William and Mary.

    Jeff Deal is speaker of the following session:

    Jeff Deal is moderator of the following session:

    Dan Fisher
    Dan Fisher

    VP Life Sciences

    Dan Fisher is VP Life Sciences for Swoop. He was previously a consultant with ZS Associates, where he supported biopharma organizations across the US and Europe. Dan’s experience spans a wide range of sales and marketing business issues, with a core focus in applying analytics to designing and optimize field forces. His work has been recognized with the Innovation Award at a major biotech, where he led machine learning projects in the US commercial organization. He holds an MBA from Vanderbilt University, and a BA from the University of Rochester

    Dan Fisher is speaker of the following session:

    Chris Franciskovich
    Chris Franciskovich

    Director, Advanced Analytics

    OSF Healthcare System

    Chris is currently the Direct of Advanced Analytics at OSF Healthcare where he leads a team of data scientists and statisticians who create and deploy industry leading advanced analytics solutions.  He has more than 12 years of experience working in healthcare and holds a MS in Predictive Analytics from Northwestern University, where he focused on advanced modeling techniques and predictive text mining.

    Casey Gentry
    Casey Gentry

    Senior Manager Engineering/Analytics

    Casey Gentry is a senior manager, engineering at Acxiom. In the past three years, she has risen from an expert analyst, to a team lead, to her current management role. Gentry's expertise includes predictive analytics, statistical modeling, experimental design, and project management. Prior to joining Acxiom, she held analyst positions at Sprint and Hallmark. Gentry received her bachelor's and master's degrees in statistics from the University of Missouri.

    Casey Gentry is speaker of the following session:

    Sara Golas
    Sara Golas

    Senior Data Specialist

    Partners HealthCare Pivot Labs

    Sara Bersche Golas is the senior data specialist at Partners HealthCare Pivot Labs, on the Data Science & Analytics team. In addition to analyzing data from clinical trials, she is responsible for extracting, cleaning, and analyzing longitudinal data used for building predictive models, as well as ensuring data security, and contributing to the study design process, protocol development, and preparation of manuscripts for scientific publication. She joined Partners HealthCare as a clinical research coordinator in 2010, and has been involved in database development and management since 2013. She joined Pivot Labs in 2015. She enjoys continually learning about the data lifecycle in the healthcare system, and is proud to be part of a team committed to realizing the potential for data insights to improve peoples’ experiences in delivering and receiving healthcare.

    Sara Golas is speaker of the following session:

    Chip Hart
    Chip Hart

    Director of Pediatric Solutions

    Physician’s Computer Company

    Chip Hart is the Director of PCC's Pediatric Solutions consulting group and author of Confessions of a Pediatric Practice Consultant (chipsblog.com). Chip's 30 years of pediatric practice management expertise has helped hundreds of pediatricians increase their clinical and financial health. As a dynamic and motivating speaker, Chip leads educational seminars and consults for pediatric professionals nationwide for organizations like the AAP, state chapter AAP programs, the MGMA, and various physician and hospital organizations around the country. Chip was a member of the CCHIT Child Health Work Group and is a member of the CDC Clinical Decision Support and Children's Model EHR format working groups.

    Jeff Heaton
    Jeff Heaton

    VP, Data Scientist

    Jeff Heaton, Ph.D., is a vice president and data scientist at Reinsurance Group of America (RGA) and an adjunct faculty member at Washington University in St. Louis.  With 20 years of life insurance industry experience, Jeff has crafted a variety of InsurTech solutions using machine learning technologies such as deep learning, random forests, and gradient boosting, among others. Utilizing electronic health records (EHR) data such as FIHR, ICD10, SNOMED, and RxNorm, he works closely with all stages of model development from inception to ultimate deployment.  Jeff is the author of several books and has published peer-reviewed research through IEEE and the ACM. He is a senior member of the Institute of Electrical and Electronics Engineers (IEEE) and Fellow of the Life Management Institute (FLMI).  Jeff holds a Ph.D. in computer science from Nova Southeastern University in Ft. Lauderdale, FL.

    Jeff Heaton is speaker of the following session:

    Gaurav Johari
    Gaurav Johari

    Principal

     Gaurav's experience as a Principal working with three leading Management Consultancies has led to extensive exposure in multiple industries. Deep understand of both business and technology aspects has led to implementing a wide array of transformational initiatives ranging from operational strategy to change management

    Steve Lamb
    Steve Lamb

    Principal

    Steve has more than 9 years experience as a consultant in the pharma/biotech industry, primarily in the San Francisco Bay Area. He has historically focused on patient and revenue forecasting/modelling at both small and large clients. 

    Steve’s experience spans early pipeline, prelaunch and inline issues including indication prioritization, opportunity assessments, M&A due diligence, customer segmentation/targeting and a range of other forecasting-related topics. He has further experience with both qualitative and quantitative market research has helped multiple clients set up their forecasting infrastructures, processes and training programs.
     
    Prior to joining IPM.ai / Swoop, Steve spent three years at a large, pharma-focused management consulting firm, and six years with the management consulting arm of a large healthcare data aggregator.

    Steve holds an MBA in Finance and Management from The Wharton School at The University of Pennsylvania. He also holds a BS in Biochemistry from The University of Waterloo.

    Steve Lamb is speaker of the following session:

    Jamie Netherton
    Jamie Netherton

    Senior Analyst

    Jamie Netherton is a senior statistical analyst, engineering at Acxiom. In the past three years, she has worked on various analytical engagements in the Healthcare and Insurance industries. Netherton’s expertise includes predictive analytics, statistical modeling, experimental design, and project management. Prior to joining Acxiom, she held analyst positions at Keypath and Hallmark. Netherton received her bachelor’s and master’s degrees in statistics from the University of Missouri.

    Jamie Netherton is speaker of the following session:

    Jorn op den Buijs
    Jorn op den Buijs

    Senior Scientist

    Jorn op den Buijs, PhD is a senior scientist at Philips Research, carrying out research on predictive analytics for the Aging and Caregiving business. In this role, he contributed to the launch of CareSage, a predictive analytics engine for the frail and elderly program of Philips Lifeline. Jorn op den Buijs has a Master's in Biomedical Engineering from the Eindhoven University of Technology and a PhD degree in Biomedical Engineering from the Mayo Clinic Graduate School, Rochester Minnesota. He is with Philips since 2011. Jorn op den Buijs is co-author of more than 20 peer-reviewed journal publications as well as various patent applications.

    Jorn op den Buijs is speaker of the following session:

    Gerhard Pilcher
    Gerhard Pilcher

    President & CEO

    Gerhard enjoys predictive analytics and data mining, especially related to the areas of Fraud Detection, Financial Risk Management, and Health Care outcomes using various analytical methods, working with people, leading change, and timely management of complex projects. His work experience spans both private and government sectors including international experience.

    Gerhard is coauthor of the popular book “Mining Your Own Business”. The book targets executives and senior managers who desire to evolve their organizations with better data driven decisions. The book is designed to have dual purpose as an introduction to the subject of data science and as a useful reference for specific, daily guidance. 

    Gerhard previously taught at Georgetown University as an adjunct faculty member in the Math and Statistics Master’s degree program. He has also been an instructor for the three-day SAS Business Knowledge Series course "Data Mining: Principles and Best Practices" and an invited speaker at domestic and international conferences.

    Gerhard currently serves on the Institute for Advanced Analytics Advisory Board and George Washington University’s Advisory Board for the Business Analytics graduate program. He was named to the NC State Computer Science Department’s “Hall of Fame” in its inaugural year.  

    Karl Rexer
    Karl Rexer

    President

    Karl Rexer founded Rexer Analytics in 2002.  He and his teams provide predictive modeling and analytic consulting to clients across many industries.  Recent clients include PwC, Boston Scientific, Redbox, ADT
    Security, Interamericana University, MIT, A.S.Watson, and many smaller companies.  In addition to leading client engagements and hands-on data work, Karl is a predictive analytics evangelist, frequently speaking at conferences, colleges, and other events.  He also serves on Advisory Boards for the Business Analytics programs at both Babson College and Bentley University.  Several software companies have sought Karl's input, and in 2008 and 2010 he served on SPSS's (IBM) Customer Advisory Board.  He also served 11 years on the Board of Directors of the Oracle Business Intelligence, Warehousing, & Analytics (BIWA) Special Interest Group.  Since 2007 Rexer Analytics has conducted surveys of analytic professionals,  asking them about their algorithms, tools, behaviors and views.  Summary reports from these surveys are available as a free download from the Rexer Analytics website.

    Prior to founding Rexer Analytics, Karl held leadership positions at several consulting firms and two multi-national banks.  Karl holds a PhD from the University of Connecticut.

    Louis F Rossiter Ph.D
    Louis F Rossiter Ph.D

    Professor of Public Policy

    LOU ROSSITER is Research Professor in the Program in Public Policy, at The College of William & Mary, Williamsburg, VA. He has published over 50 journal publications on health economics and the role of competition in the financing and delivery of health services.
    Rossiter is founder of New Health Analytics, a Richmond-based health information technology company serving hospitals and freestanding surgery centers in 23 states.
    Rossiter is formerly the Secretary of Health and Human Resources for the Commonwealth of Virginia, formerly professor the Virginia Commonwealth University, and formerly deputy for policy to the Administrator of the Centers for Medicare & Medicaid Services (CMS).
    He has served on the Board of Regents of the National Library of Medicine, National Institutes of Health; the Board of Directors of AcademyHealth; and was the Chair of the Coalition for Health Services Research, the lobbying arm of AcademyHealth, as the Affordable Care Act passed through Congress.

    Louis F Rossiter Ph.D is speaker of the following session:

    Mohammad Shokoohi-Yekta
    Mohammad Shokoohi-Yekta

    Former Senior Data Scientist, Apple, and joining Microsoft soon

    Mohammad is a Senior Data Scientist and Lecturer at Stanford University, and the co-founder of MedicalBlockchain.ai. He worked at Apple in California for 4 years, Samsung, Bosch, General Electric Research and UCLA on predictive modeling projects. He received a PhD in Computer Science from the University of California, Riverside and B.Sc. from University of Tehran. Mohammad is the author of the book, ‘Applications of Mining Massive Time Series Data'. He has also been a keynote speaker at more than 30 Data Summits/Conferences around the globe.

    Mohammad Shokoohi-Yekta is speaker of the following session:

    Alex Thomas
    Alex Thomas

    Data Scientist

    John Snow Labs

    Alex Thomas is a data scientist at John Snow Labs. He's used natural language processing (NLP) and machine learning with clinical data, identity data, and job data. He's worked with Apache Spark since version 0.9 as well as with NLP libraries and frameworks including UIMA and OpenNLP.

    Erich Wohlhieter Ph.D
    Erich Wohlhieter Ph.D

    Executive Director, Digital Health & Innovation

    Erich Wohlhieter has been at Amgen over 16 years in a variety of roles spanning research, corporate transformation and strategy, and is currently an Executive Director in Amgen’s Digital Health and Innovation group.

    Erich received his Bachelor’s in Chemistry from the University of California, Berkeley and his PhD in Organic Chemistry from the University of California, Los Angeles. 

    Ken Yale, JD, DDS
    Ken Yale, JD, DDS

    Instructor

    Ken is trained in population statistics, medicine/dentistry, and law. He worked in clinical practice, data science, care management, and health regulations. Ken was a government official in the US Senate and White House. After that he was Founder/CEO of Advanced Health Solutions and held executive positions at CorSolutions, Matria Healthcare, UnitedHealth Group, and Aetna. Ken held leadership roles in the Maryland State Task Force on Electronic Medical Records, the University of Maryland Center for Health Information and Decision Systems, and Utilization Review Accreditation Commission (URAC). He is a frequent author and speaker, including Handbook of Statistical Analysis and Data Mining Applications; Clinical Integration: Population Health and Accountable Care; Divining Healthcare Charges for Optimal Health Benefits Under the Affordable Care Act. With a team of data science industry experts he leads a certificate program in Healthcare Predictive Analytics at University of California, to train the next generation of health data scientists.

    Cal Zemelman
    Cal Zemelman

    Director, Lead Data Scientist

    Cal Zemelman serves as a Director at CVP and is in charge of innovation and growth efforts across the firm through a variety of corporate and client engagements. He has designed and developed data science and advanced analytics capabilities in the Cloud for both government and commercial clients. Prior to CVP, he worked with the US Marine Corps leading enterprise business intelligence and analytics teams.

    Cal holds an MS in Management of Information Technology from the University of Virginia, along with a BS in Information Systems and Policy & Management with a Minor in English from Carnegie Mellon University.

    Cal Zemelman is speaker of the following session:

    PAW Industry 4.0

    Ritesh Agrawal
    Ritesh Agrawal

    Senior Data Scientist

    Ritesh Agrawal is a Senior Data Scientist at Uber and leads the Intelligent infrastructure and the Developer platform analytics and science projects. His focus is on making Uber's data infrastructure intelligent and develop tools and techniques to enhance developer productivity using data mining and machine learning techniques. Before Uber, Ritesh worked at Netflix and AT&T Labs where he specialized in predictive and ranking models at scale. A Ph.D. scholar from Pennsylvania State University (State College) in Environmental Earth Science, Ritesh’s thesis focused on computational tools and technologies such as concept map ontologies.

    Meltem Ballan Ph.D
    Meltem Ballan Ph.D

    Chief Data & Analytics Office

    Meltem is an experienced data scientist, leader, and strategist with a unique combination of analytical and leadership expertise of 10 years in industry, and 10 years in academia. She recently joined GM at Chief Data and Analytics Office. During her career she has designed complex machine learning models and implemented AI projects including natural language processing (NLP), linear and logistic regression, supervised and unsupervised learning, deep learning algorithms (CNN & RNN) and hybrid approaches of computer vision. Her passion for cognitive and biological bases of data prompted her to have a career in academia where she received a degree in Complex Systems and Brain Sciences with a minor in cognitive and behavioral neuroscience. She implemented her knowledge of neuroscience and analytics while a professor at the University of North Carolina Chapel Hill Medical School.

    Richard Boire
    Richard Boire

    Senior Vice President

    Richard Boire's experience in predictive analytics and data science dates back to 1983, when he received an MBA from Concordia University in Finance and Statistics. 

    His initial experience at organizations such as Reader’s Digest and American Express allowed  him to become a pioneer in the application of predictive modelling technology for all database and CRM type marketing programs. This extended to the introduction of models which targeted the acquisition of new customers based on return on investment.

    With this experience, Richard formed his own consulting company back in 1994 which is now called the Boire Filler Group, a Canadian leader in offering  analytical and database services to companies seeking solutions to their existing predictive analytics or database marketing challenges.

    Richard is a recognized authority on predictive analytics and is among a very few, select top five experts in this field in Canada, with expertise and knowledge that is difficult, if not impossible to replicate in Canada. This expertise has evolved into international speaking assignments and workshop seminars in the U.S., England, Eastern Europe, and Southeast Asia. 

    Within Canada, he gives seminars on segmentation and predictive analytics for such organizations as Canadian Marketing Association (CMA), Direct Marketing News, Direct Marketing Association Toronto, Association for Advanced Relationship Marketing (AARM) and Predictive Analytics World (PAW).  His written articles have appeared in numerous Canadian  publications such as  Direct Marketing News, Strategy Magazine, and Marketing Magazine. He has taught applied statistics, data mining and database marketing at a variety of institutions across Canada which include University of Toronto, George Brown College, Seneca College, and currently Centennial College. Richard was  Chair at the CMA's Customer Insight and Analytics Committee and  sat on the CMA's Board of Directors from 2009-2012. He has chaired numerous full day conferences on behalf of the CMA (the 2000 Database and Technology Seminar as well as the  2002 Database and Technology Seminar and the first-ever Customer Profitability Conference  in 2005. He has most recently chaired the Predictive Analytics World conferences in both 2013 and 2014 which were held in Toronto.

    He has co-authored white papers on the following topics: "Best Practices in Data Mining" as well as "Customer Profitability:  The State of Evolution among Canadian Companies."  In Oct. of 2014, his new book on "Data Mining for Managers-How to use Data (Big and Small) to Solve Business Problems" was published by Palgrave Macmillian.  In March of 2016, Boire Filler Group was acquired by Environics Analytics where his current role is senior vice-president of innovation.

    Dan Case
    Dan Case

    Principal

    Dan Case is a Principal with Cicero Group and co-leads the firm’s Customer Insight and Analytics practice. Dan has specific expertise in using analytic approaches to empower tangible, data-driven strategies for clients. With over ten years of management consulting and research experience, Dan has been a trusted advisor to senior executives across a range of companies and industries. 

    Dan Case is speaker of the following session:

      Dyann Daley MD
      Dyann Daley MD

      Founder and CEO

      Dr. Dyann Daley, MD,  is an experienced pediatric anesthesiologist and child maltreatment prevention executive, specializing in location-based predictive modeling, systems thinking, and development of practical solutions for community-influenced children’s issues.  

      Dr. Daley founded and was the executive director of Cook Children’s Center for Prevention of Child Maltreatment in Fort Worth, Texas where she demonstrated the effectiveness of place-based predictive analytics for child maltreatment using spatial risk modeling.  She went on to found Predict Align Prevent, a national nonprofit advancing geospatial machine learning predictions in child welfare, strategic alignment of prevention resources, and implementation of accountable prevention programs to prevent child maltreatment before it happens.  Her organization is committed to open science for social good. 

      Dyann Daley MD is speaker of the following session:

      Gourab De PhD
      Gourab De PhD

      Vice President of Data Science

      Dr. Gourab De is the Vice President of Data Science at DataRobot, where his primary focus is helping customers improve their ability to make and implement predictions. Previously, De was part of the data science team at Ginger.io focusing on behavioral analytics in mental health. His professional experience includes statistical genetics, clinical trials, retrospective claims analysis, chart review studies, predictive modeling and pharmacoeconomic modeling. De graduated with honors from the Indian Statistical Institute in Kolkata, India, and received a Ph.D. in Biostatistics from Harvard University.

      Gourab De PhD is speaker of the following session:

      Ryohei Fujimaki
      Ryohei Fujimaki

      CEO

      dotData

      Ryohei is the Founder & CEO of dotData. Prior to founding dotData, he was the youngest research fellow ever in NEC Corporation’s 119-year history, the title was honored for only six individuals among 1000+ researchers. During his tenure at NEC, Ryohei was heavily involved in developing many cutting-edge data science solutions with NEC’s global business clients, and was instrumental in the successful delivery of several high-profile analytical solutions that are now widely used in industry. Ryohei received his Ph.D. degree from the University of Tokyo in the field of machine learning and artificial intelligence.

      Ryohei Fujimaki is speaker of the following session:

      Carola Gregorich Dr.
      Carola Gregorich Dr.

      Principal Technical Leader

      Dr. Carola Gregorich is a Principal Technical Leader at the Electric Power Research Institute (EPRI).
      Carola leads research activities in radiation field source term control and radiation field generation – activities that bridge EPRI’s Radiation Safety and Water Chemistry Control Programs. The Radiation Management and Source Term Technical Strategy Group, an active peer-to-peer group is as much at the center of the activities as are the chemistry and radiation field databases. Seeing benefits of using data science in radiation field research, she is at the forefront of implementing data science approaches in the programs’ activities.
      Carola’s expertise is in nuclear, radiochemistry, analytical, light water reactor chemistry. Prior to joining EPRI, she worked for GE Nuclear and AREVA NP. She holds a master in analytical chemistry from Humboldt University to Berlin and a Ph.D. from Philipps University, Marburg, Germany. As a Feodor‐Lynen‐Research Fellow of the Alexander von Humboldt Foundation she identified a new isotope of plutonium (231) at the Lawrence Berkeley Nat'l Lab, Berkeley, CA and working at Lawrence Livermore Nat'l Lab she was a member of the Livermorium (element 116) discovery team.
       

      Krishna Kallakuri
      Krishna Kallakuri

      President

      Krishna Kallakuri is President & founder of Loven Systems, the creators of diwo®.  Krishna’s visionary leadership and delivery of transformational BI and Analytics initiatives to leading Fortune 500's has landed the practice he has founded on the Midwest’s Fastest-Growing list. With 20 years of expertise in technology and executive management, Mr. Kallakuri’s passion for advanced analytics, cognitive technologies, and artificial intelligence has led to pioneering work—most recently the launch of diwo®, which was developed from the ground up as a “business-first” platform to address the adoption issues common with other transformative initiative

      Krishna Kallakuri is speaker of the following session:

      Vanessa Lam
      Vanessa Lam

      Manager, Business Intelligence

      Ms. Lam is the Business Intelligence Manager at Optoro, a growth-stage technology company producing warehouse solutions for reverse logistics. She works on data requirements gathering, metrics standardization, and dashboard creation. Her background as a data analyst and consumer has given her the context necessary to optimize the data experience for the end user; as such, she instigated and is leading the Tableau Ambassadors Group, Optoro's internal BI Center of Excellence. Ms. Lam graduated with a Bachelor of Science in Economics from the Wharton School at the University of Pennsylvania.

      Vanessa Lam is speaker of the following session:

      Jack Levis
      Jack Levis

      Senior Director, Process Management

      "Through the marriage of technology, information and analytics UPS reduces cost and improves services. These advanced technologies streamline our business processes and ultimately benefit our customers."

      Jack Levis, Senior Director of Process Management, drives the development of operational technology solutions. These solutions require advanced analytics to reengineer current processes to streamline the business and maximize productivity.

      Under Jack's direction, UPS has completed integration of multiple operations systems, requiring extensive system engineering, usability and analytics provisions. These systems ultimately synchronize the flow of data throughout UPS, allowing the seamless movement of goods, funds and information.

      Jack has been the business owner and process designer for UPS' award-winning Package Flow Technology suite of systems, a breakthrough change for UPS, resulting in 85 million fewer miles driven each year.

      His team designed UPS' next generation of dispatching technologies which use advanced optimizations. The world-class optimizations and systems, UPS ORION, On-Road Integrated Optimization and Navigation, is in deployment and will provide significant operational benefits to UPS and its customers.

      Having earned his Bachelor of Arts in psychology, from California State University Northridge, Jack also holds a Master's Certificate in Project Management from George Washington University.

      Jack holds advisory council positions for multiple universities and associations, including the U.S. Census Bureau Scientific Advisory Committee.

      In his spare time, Jack enjoys baseball, scuba diving, skiing, home electronics and Corvettes. He lives in York, Pa. with his wife and four children.

      Jack Levis is speaker of the following session:

      Wes Madrigal
      Wes Madrigal

      Machine Learning Engineer

      Wes is a data science innovator, with a career of experience working on projects that elevate data science solutions to business problems.  With a strong background in software engineering, analytics, and machine learning Wes is able to bridge the gap between computer science and data science.  Wes has built software to streamline machine learning at scale, built product integrated machine learning models that drive revenue by increasing product ROI, and answered countless questions with deep dive analysis projects.

      Wes Madrigal is speaker of the following session:

      Jaya Mathew
      Jaya Mathew

      Senior Data Scientist

      Jaya Mathew is a Senior data scientist at Microsoft where she is part of the Artificial Intelligence and Research team. Her work focuses on the deployment of AI and ML solutions to solve real business problems for customers across multiple domains. Prior to joining Microsoft, she has worked with Nokia and Hewlett-Packard on various analytics and machine learning use cases. She holds an undergraduate as well as a graduate degree from the University of Texas at Austin in Mathematics and Statistics respectively.

      Jaya Mathew is speaker of the following session:

      Steve Miller
      Steve Miller

      Vice President, Controls and Protection Division

      Steve Miller is Vice President within in the Controls and Protection Division for Eaton. In this role, Miller is responsible for strategic planning and commercial marketing functions for the $1.5 billion division. He has deep experience developing and executing on Innovation & Growth Strategies and B2B Marketing.  Previous to Eaton, Miller served at Ryder System, held various leadership roles over 14 years with Goodyear Tire & Rubber Company including General Manager of Goodyear Caribbean based in Kingston, Jamaica. In that capacity, he was responsible for Goodyear's business interests in the Caribbean markets including Puerto Rico, Jamaica, Trinidad & Tobago, and Haiti. Miller holds an MBA from Duke University (Fuqua) and a BS in Economics from the University of Pennsylvania (Wharton).

      Irene Petrick
      Irene Petrick

      Senior Director of Industrial Innovation

      Dr. Irene J. Petrick joined Intel in 2015 and is Senior Director of Industrial Innovation in the Internet of Things Group.  Irene focuses on emerging technology, social, and global trends and their combined impact on the industrial space.  Her work highlights the industrial internet of things, edge computing, the transition to intelligent manufacturing and the needs of the future workforce, 3D printing and distributed manufacturing and the new business models that are enabled by intelligent manufacturing.  Prior to joining Intel, Irene was a professor at Penn State and has been actively engaged with companies in their innovation and technology strategies for over 25 years, including work with twelve Fortune 100 companies, the U.S. military, and a wide variety of small to medium sized enterprises. Petrick is author or co-author on more than 180 publications and presentations. 

      Steven Ramirez
      Steven Ramirez

      CEO

      Steven J. Ramirez is the chief executive officer of Berkeley, Calif.-based Beyond the Arc, Inc., a firm recognized as a leader in helping companies transform their customer experiences by leveraging advanced analytics.

      In addition to developing and executing the vision for Beyond the Arc, Ramirez leads teams of data and strategy consultants committed to client success. They analyze customer and social media data, combined with text analysis, to drive customer growth, improve customer retention, understand service breaks and build stronger customer loyalty.

      Prior to leading Beyond the Arc, Ramirez served as an executive with Time Warner, where he was responsible for creating and successfully implementing marketing and corporate development strategies.

      Ramirez earned a bachelor's degree and master's in Business Administration from the University of California at Berkeley. He as also created and taught courses in business management for UC Berkeley and been a guest speaker at the university's Haas School of Business.

      Satyendra Rana
      Satyendra Rana

      Chief Technology Officer

      A perpetual innovator and entrepreneur in his vocation, Satyendra Rana is an unapologetic challenger of status quo. Loven Systems is his latest act of that spirit, where he is leading the research and development of a big data science platform, called DIWO™(Data In Wisdom Out), inspired by systems thinking approach and cognitive science. In his exciting professional journey spanning over 35 years, Dr. Rana has built and sold companies in emerging technologies, held senior and executive leadership positions in various companies, won prestigious industry awards, served on the boards of startups, and has mentored many professionals. Dr. Rana holds a Doctorate Degree in Distributed Computing from Indian Institute of Technology, New Delhi, India where he was also a faculty member for over 4 years before migrating to USA.

      Satyendra Rana is speaker of the following session:

      Anando Sen
      Anando Sen

      Product Manager

      With more than fifteen years of experience and M.B.A from the University of California, Berkeley (Haas School of Business), Anando is an entrepreneur and a product manager with a strong passion for creating high-performance quality products. At Uber, he manages Uber's reliability strategy to ensure a fast, seamless service experience for millions of users across the globe. Previously, at Apple, he delivered a data-driven all-day battery life strategy for iPhones and Watches. Before that, he built products in the IoT marketplace for automotive telemetry and was an early contributor to Legato.io ecosystem. 

      Mohammad Shokoohi-Yekta
      Mohammad Shokoohi-Yekta

      Former Senior Data Scientist, Apple, and joining Microsoft soon

      Mohammad is a Senior Data Scientist and Lecturer at Stanford University, and the co-founder of MedicalBlockchain.ai. He worked at Apple in California for 4 years, Samsung, Bosch, General Electric Research and UCLA on predictive modeling projects. He received a PhD in Computer Science from the University of California, Riverside and B.Sc. from University of Tehran. Mohammad is the author of the book, ‘Applications of Mining Massive Time Series Data'. He has also been a keynote speaker at more than 30 Data Summits/Conferences around the globe.

      Mohammad Shokoohi-Yekta is speaker of the following session:

      Nicole Antoinette Smith
      Nicole Antoinette Smith

      Lecturer

      Nicole Antoinette Smith is a full-time Lecturer at Ohio University in the College of Business teaching data analytics, information systems, and project management courses. She provides management consulting services under her company (Nicole Antoinette Consulting) using seven proprietary business methodologies. 

      Nicole Antoinette is known as 'A Catalyst for Change' and is recognized as a perceptive leader with demonstrated ability to lead a diverse team of professionals. She has strong leadership qualifications in management and planning, developing processes, building high performance teams, and managing innovation. Nicole Antoinette has in-depth working knowledge and hands-on experience in Software Development Life Cycle methodologies, Software Quality Assurance methodologies and tools, Business Analysis, Project Management (managing SaaS, Clouding Computing, and eCommerce projects), Strategic Planning, Process Improvement, Program Development, and Independent Verification & Validation. 

      She earned a MS in CIS from Missouri State University and a BBA with dual majors in MIS  and Marketing from Ohio University.

      Nicole Antoinette Smith is speaker of the following sessions:

      Lyle Sprinkle
      Lyle Sprinkle

      Director: Meters, Relays & IoT Solutions

      Lyle Sprinkle leads IoT Solutions efforts within the Power Components Division at Eaton.  This exciting organization creates new IoT and software tools which dramatically improve power system monitoring and reporting for industrial and manufacturing customers. Previously, he has held product management, marketing and engineering roles at Honeywell, Vocollect- an industrial speech-recognition start-up, Harris Corporation and Alcatel. He has authored an article for MobileMarketer.com’s “Classic Guide to Mobile Commerce”, spoke on the future of digital wireless products to executives and journalists in Beijing at the CCBN China Digital Summit, and has provided guest lectures at Carnegie Mellon University in Pittsburgh, PA. Lyle holds an MBA with an International Marketing focus from the University of Texas at Dallas and an Electrical Engineering degree from Georgia Tech.

      Greg Stevens
      Greg Stevens

      Manager, Advanced Analytics

      Greg Stevens is a senior data scientist at Vistra Energy, a national retail energy company headquartered in Irving, Texas. After earning his Ph.D. in Mathematical Psychology from the University of Michigan, Greg spent several years teaching and doing research in Cognitive Science at the University of California, Los Angeles, before moving on to leverage his research and mathematical modeling skills to develop advanced analytical tools within the retail energy sector. His early academic work resulted in several books chapters and peer-reviewed articles on topics ranging from neural network models of speeded decision-making, to dynamic-systems models of infant attachment behavior. His recent focus has been on integrating statistical methodologies to create actionable insights into the relationship between human behavior and business outcomes.

      Greg Stevens is speaker of the following session:

      Yong Sun
      Yong Sun

      Supervisor

      Tech and Team leader for three divisions: autonomous driving and machine learning/deep learning, simulations at Isuzu technical Center of America. First authored multiple technical papers on autonomous driving, Machine learning and simulations. Speaker at various conferences, including  Autonomous Vehicle Test & Development Symposium 2018, Autonomous Vehicles Silicon Valley 2019, SAE world congress 2018/2019, Autonomous driving and future mobility 2019.

      Yong Sun is speaker of the following session:

      Robert Welborn
      Robert Welborn

      Head of Data Science, Connected Car

      Robert runs Data Science and Advanced Analytics at General Motors. His chief duty is creating products out of data streaming from connected and self-driving cars.  Robert joined GM from USAA where he ran data science, researching machine learning, optimization, and simulation.  He’s been the feature of a Forrester Research case study and articles in MIT Technology Review and Forbes for his work in marketing and artificial Intelligence. Robert’s work with the World Bank became a highly cited publication on University/Industry research partnerships.  He still works with universities in turning research into solutions for General Motors.  He’s a graduate from Texas A&M University and the University of California, San Diego.  He lives in Austin with his wife and three children.

      Deep Learning World

      Arnab Chakrabarti
      Arnab Chakrabarti

      Senior Research Scientist

      Dr. Chakrabarti is a Senior Research Scientist in Hitachi's Financial Innovation Lab. in Santa Clara. He works at the intersection of data science and finance, and has been doing industrial research for over ten years . He did his MS-PhD in Electrical and Computer Engineering at Rice University, and afterwards did his Master of Financial Engineering at U C Berkeley. Dr. Chakrabarti's research publications and patents have collectively been cited over one thousand times.

      Arnab Chakrabarti is speaker of the following sessions:

      Matt Cowell
      Matt Cowell

      CEO

      Matt serves as the CEO at QuantHub, spearheading the drive to help companies overcome the extreme analytics talent shortage and build exceptional data science and engineering teams. Matt has a passion for developing authentic relationships with customers to truly understand what drives them, and then crafting creative solutions to their most critical problems. Prior to joining QuantHub, Matt spent the last 15 years running product and tech at PE-backed companies, including building a product and engineering organization at Daxko to deliver 10x revenue growth, 7 acquisitions, and 3 enormously successful recapitalizations in just 10 years. While at Daxko, Matt led the team to deliver the first machine learning/AI solution to the market, predicting customer membership churn and also propensity to donate. 

      Dyann Daley MD
      Dyann Daley MD

      Founder and CEO

      Dr. Dyann Daley, MD,  is an experienced pediatric anesthesiologist and child maltreatment prevention executive, specializing in location-based predictive modeling, systems thinking, and development of practical solutions for community-influenced children’s issues.  

      Dr. Daley founded and was the executive director of Cook Children’s Center for Prevention of Child Maltreatment in Fort Worth, Texas where she demonstrated the effectiveness of place-based predictive analytics for child maltreatment using spatial risk modeling.  She went on to found Predict Align Prevent, a national nonprofit advancing geospatial machine learning predictions in child welfare, strategic alignment of prevention resources, and implementation of accountable prevention programs to prevent child maltreatment before it happens.  Her organization is committed to open science for social good. 

      Dyann Daley MD is speaker of the following session:

      Dinakar Deshmukh
      Dinakar Deshmukh

      VP – Data Sciences and Analytics

      Dinakar Deshmukh is the VP of data science and analytics for GE Aviation. He has been working in aviation industry for the last 20 years. In his current role as data science leader for GE Aviation, he is responsible for developing AI based solutions for engine health management, supply chain and MRO operations. His team is also developing ML based applications to help airline operations to improve operational efficiencies.

      Dinakar Deshmukh is speaker of the following session:

      Siddha Ganju
      Siddha Ganju

      Solutions Architect

      Siddha Ganju is an Architect at Nvidia where she is working on the Self-Driving initiative and co-author of the upcoming book, ‘Practical Deep Learning for Cloud and Mobile’. She was previously at Deep Vision where she worked on developing and deploying deep learning models on resource constraint edge devices. She graduated from Carnegie Mellon University with a Master's in Computational Data Science. Her prior work ranges from Visual Question Answering to Generative Adversarial Networks to gathering insights from CERN's petabyte scale data and has been published at top tier conferences like CVPR and NIPS. She is a frequent speaker at AI conferences and is a NASA AI Advisor.

      Siddha Ganju is speaker of the following session:

      Kunling Geng
      Kunling Geng

      Lead Data Scientist & AI Architect

      Dr. Kunling Geng is currently the Lead Data Scientist and AI Architect at Decision Engines Inc.  His expertise spans across Deep Learning, Computer Vision, Natural Language Processing, Knowledge Graph, and Relationship Reasoning. He designed and implemented various AI models to natively understand unstructured business documents during the intelligent automation of business processes such as account payable process, fraud detection, financial reconciliation, decision making, risk assessment, etc.

      Kunling revived his Ph.D. in Biomedical Engineering at USC, where his research focuses on utilizing machine learning and neural network based models to analyze the time-series neural data recorded in the human hippocampus regions.

      Luba Gloukhova
      Luba Gloukhova

      Former Research Analytics Consultant

      Luba Gloukhova leads and executes advanced machine learning projects for high tech firms and major research universities in Silicon Valley. She also preaches what she practices, serving as the founding chair of Deep Learning World – the premier conference covering the commercial deployment of deep learning – and delivering highly-rated talks at many other events as well. Luba previously supported Stanford faculty as an internal consultant at the university's Graduate School of Business, conceiving and generating innovative solutions to accelerate research.

      Before that, Luba gained industry experience in high frequency trading analysis, catastrophe risk modeling, and marketing analytics. She received her master’s in analytics from the University of San Francisco and two bachelors degrees from Berkeley: applied mathematics and economics. Luba also teaches yoga and enjoys an active lifestyle.

      Luba Gloukhova is speaker of the following session:

      Alex Glushkovsky
      Alex Glushkovsky

      Principal Data Scientist

      Dr. Alex Glushkovsky is a Principal Data Scientist at BMO Financial Group. He has over 30 years of diverse industrial, consulting and academic experience. Alex holds a PhD in mathematical modeling and optimization of technological processes and an Honours MSEE. He is a Fellow Member of The Royal Statistical Society and a Senior Member of the American Society for Quality. Alex holds CRE and CQE by ASQ, and the PRMTM professional certifications. He has been awarded for outstanding instruction of the Economics for Managers course, Ellis MBA, NYIT. Alex has published/presented over 30 research papers on the statistical analysis, machine learning and analytical management in International editions.

      Alex Glushkovsky is speaker of the following session:

      Martin Gorner
      Martin Gorner

      Developer Relations

      Martin Görner works in developer relations at Google, where he focuses on parallel processing and machine learning. Passionate about science, technology, coding, algorithms, and everything in between, Martin’s first role was in the Computer Architecture Group at STMicroelectronics. He also spent 11 years shaping the nascent ebook market, starting at Mobipocket, which later became the software part of the Amazon Kindle and its mobile variants. He holds a degree from Mines Paris Tech. He is best known today for the "Tensorflow without a PhD" series.

      Jeff Heaton
      Jeff Heaton

      VP, Data Scientist

      Jeff Heaton, Ph.D., is a vice president and data scientist at Reinsurance Group of America (RGA) and an adjunct faculty member at Washington University in St. Louis.  With 20 years of life insurance industry experience, Jeff has crafted a variety of InsurTech solutions using machine learning technologies such as deep learning, random forests, and gradient boosting, among others. Utilizing electronic health records (EHR) data such as FIHR, ICD10, SNOMED, and RxNorm, he works closely with all stages of model development from inception to ultimate deployment.  Jeff is the author of several books and has published peer-reviewed research through IEEE and the ACM. He is a senior member of the Institute of Electrical and Electronics Engineers (IEEE) and Fellow of the Life Management Institute (FLMI).  Jeff holds a Ph.D. in computer science from Nova Southeastern University in Ft. Lauderdale, FL.

      Jeff Heaton is speaker of the following session:

      Steve Hoeg
      Steve Hoeg

      Director of Engineering

      Steve Hoeg is the Senior Engineering Manager responsible for Adobe’s line of professional audio and video products - Premiere Pro, After Effects, Audition, Prelude and Media Encoder. Personal big-screen Hollywood movie credits include Deadpool, Only the Brave, Hail Caesar and Gone Girl.

      Steve has a background in image processing, and was previously Project Lead, guiding technical direction and architecture of Premiere Pro. Author of the GPU accelerated Mercury playback engine, implementing a large scale image processing pipeline in CUDA. Speaker at conferences including NVIDIA GTC and AMD Developer Fusion.

      Steve Hoeg is speaker of the following session:

      Anne Hunt
      Anne Hunt

      Manager, Data Science

      Anne Hunt is the Manager, Data Science, joining the team 7 years ago. She is an annual presenter at the Trimble Dimensions Conference focusing on analytics topics. Anne applies statistical theories and methods to collect, analyze and interpret quantitative data using tools such as python, Tableau, R, and SAS. She has provided analytics to hundreds of clients, improving their fuel efficiency and monitoring fuel theft. Anne holds degrees in Mathematics and Statistics from the University of Minnesota, Duluth. She also has a Masters in Analytics from Villanova University.   

      Armin Kappeler
      Armin Kappeler

      Sr. Research Engineer

      Armin Kappeler received his M.S. and Ph.D. degree in Electrical Engineering from Northwestern University in 2016 where he worked on different deep neural networks applications for Image and video classification and recovery. He was among the first researchers to apply deep neural networks to video super-resolution. In 2015, he joined Verizon Media Group ( former Yahoo ) as a researcher, where he is currently working on automated model building, active learning and other related computer vision applications.

      Armin Kappeler is speaker of the following session:

      Meher Kasam
      Meher Kasam

      Software Developer

      Meher Kasam is a seasoned software developer at Square working on building engaging experiences on their iOS Point of Sale application. He worked previously at Microsoft, where he shipped features used by tens of millions of users everyday, from Cortana to the award winning Bing app. He also has experience designing and building scalable cloud APIs serving millions of requests daily. He’s was the mobile lead for Seeing AI app, using computer vision and deep learning for blind users. With a flair for fast prototyping, he has won close to two dozen hackathons, and then turned them to ship features in several products. He is also co-author of the upcoming book, ‘Practical Deep Learning for Cloud and Mobile’.

      Meher Kasam is speaker of the following session:

      Chandra Khatri
      Chandra Khatri

      Senior AI Scientist

      Chandra Khatri is a Senior AI Scientist at Uber AI, where he is driving fundamental and applied research in the field of Deep Learning, Reinforcement Learning, and Conversational AI. He is developing novel Conversational Interfaces for drivers and riders at Uber. Prior to Uber, he was the Lead Scientist for Alexa Prize, which is a $3.5 Million on-going University Competition from Amazon to advance the state of Conversational AI. Chandra along with the Alexa Prize participants, which includes some of the best research groups in the world, have advanced the state of Conversational AI through this competition. 

      Prior to Alexa, Chandra was a Researcher at eBay’s Applied Research Group, wherein he led various Deep Learning and NLP initiatives such as Automatic Text Summarization, Automatic Content Generation and Recommendation Systems within the e-Commerce domain. The models that he built led to significant gains for eBay. Chandra holds degrees in Machine Learning and Computational Science & Engineering from Georgia Tech and BITS Pilani.

      Chandra Khatri is speaker of the following session:

      Anirudh Koul
      Anirudh Koul

      Head of AI & Research

      Anirudh is the Head of AI & Research at Aira (Visual interpreter for the blind), and was previously at Microsoft AI & Research where he founded Seeing AI - Talking camera app for the blind community. He is also the co-author of the upcoming book, ‘Practical Deep Learning for Cloud and Mobile’. He brings over a decade of production-oriented Applied Research experience on Peta Byte scale datasets, with features shipped to about a billion people. He has been prototyping ideas using computer vision and deep learning techniques for Augmented Reality, Speech, Productivity as well as Accessibility. Some of his recent work, which IEEE has called ‘life changing’, has been honored by CES, FCC, Cannes Lions, American Council of the Blind, showcased at events by White House, House of Lords, World Economic Forum, on Netflix, National Geographic, and applauded by world leaders including Justin Trudeau and Theresa May.

      Anirudh Koul is speaker of the following session:

      Alex Liang
      Alex Liang

      Data Scientist

      American Tire Distributors

      Alex is a physicist/mathematician turned computer scientist, and then later turned machine learning enthusiast. Through his years working as a data scientist, he developed and deployed machine learning solutions to solve real world business problems, such as using LSTM to forecast staffing needs, using xgboost models to execute real-time online customer behavior classifications. We live in an amazing era, where machine learning algorithms 60 years ago can be put into reality with a few lines of python code. As one of the first two data scientists in company history to join American Tire Distributors, Alex helped grow the data science team to a size of 12 within a year; and they are now developing machine learning solutions to help the company in supply chain, sales, warehousing, as well as eCommerce.

      Information about Alex Liang's session will follow soon.

      Przemek Maciołek, PhD
      Przemek Maciołek, PhD

      VP of Research & Development

      Przemek Maciołek, PhD is a VP of R&D at Collective Sense, where he leads development efforts on the company's next-gen log and network monitoring platform. Previously, Przemek's work focused on using machine and deep learning for business intelligence, data mining, and big data solutions for IBM, Oil & Gas exploration companies, Toptal, Base (now part of Zendesk), and others. Outside of his professional duties, he concurrently worked on research in the field of machine learning, anomaly detection, intrusion detection systems, and natural language processing, and he earned his PhD in 2015. Przemek is a frequent public speaker and active in the technology meet-up community, managing the second largest data-centric group in Poland.

      Polina Mamoshina
      Polina Mamoshina

      Senior Research Scientist

      Insilico Medicine

      Polina Mamoshina is a senior research scientist at Insilico Medicine, Inc, a Baltimore-based bioinformatics and deep learning company focused on reinventing drug discovery and biomarker development and a part of the computational biology team of Oxford University Computer Science Department.  Insilico Medicine, Inc headquartered at the Johns Hopkins University - Montgomery County Campus in Rockville. The company is focusing on applying deep learning and advanced signalling pathway activation analysis to biomarker discovery, drug discovery and drug repurposing for ageing and age-related diseases. Through a partnership with the BitFury Group, the company is working on a range of AI solutions for blockchain to help return the power over life data back to the individual.  A brief video explaining Insilico Medicine research and commercial focus is available on Youtube. Her primary research interests include artificial intelligence, deep learning, biomarkers of ageing and disease and drug responses, healthcare data management,  healthcare data economy.

      Polina graduated from the Department of Genetics of the Moscow State University. She was one of the winners of GeneHack a Russian nationwide 48-hour hackathon on bioinformatics at the Moscow Institute of Physics and Technology attended by hundreds of young bioinformaticians. Polina is involved in multiple deep learning projects at the Pharmaceutical Artificial Intelligence division of Insilico Medicine working on the drug discovery engine and developing biochemistry, transcriptome, and cell-free nucleic acid-based biomarkers of ageing and disease.

      Information about Polina Mamoshina's session will follow soon.

      James McCaffrey
      James McCaffrey

      Senior Scientist Engineer

      James McCaffrey works for Microsoft Research in Redmond, Wash. James explores applied deep machine learning and artificial intelligence. He has worked on several Microsoft products including Internet Explorer and Bing. James has a PhD in cognitive psychology and computational statistics from the University of Southern California, a BA in psychology, a BA in applied mathematics, and an MS in computer science. 

      James learned to speak to the public while working at Disneyland as a college student, and he can still recite the entire Jungle Cruise ride narration from memory.

      James McCaffrey is speaker of the following session:

      Anand Oka
      Anand Oka

      Principal Program Manager Lead

      Anand Oka is a Principal Group Program Manager in the Business Applications Group of Microsoft, where he drives innovative applications of connected customer knowledge and cutting-edge AI to solve challenges faced by enterprises who are making the Digital Transition, such as protection from Fraud and Abuse. Previously Anand worked on User Value Measurement and Data Science for Controlled Feature Exposures and AB Experimentation on Microsoft Office, Bing and Cortana, and Machine Intelligence for search, recommendation, and systems optimization at Blackberry. He original training is in physical layer Wireless Engineering and its applications in broadband and ultrabroadband communication systems.

      Anand holds a PhD from the University of British Columbia, and an MSc from The Technion – Israel Institute of Technology, both in Electrical Engineering. He is a Senior Member of the IEEE.

      Anand Oka is speaker of the following session:

      Miles Porter
      Miles Porter

      Data Scientist

      Miles Porter has held various roles over his 20+ year career including positions in software engineering, database engineering, network engineering, systems engineering, and quality assurance.  He has worked as an individual contributor, tech lead as well as in management.  In early 2017 Miles shifted his focus to data science and is currently part of the Trimble data science team.  He has a bachelor's degree in mathematics from the University of Northern Colorado and has done graduate work in pattern analysis and applied mathematics at Colorado State University.  He is currently working towards a master's degree in analytics from Georgia Tech.  When he is not doing geeky math and computer stuff, Miles enjoys playing upright and electric bass in various musical groups, practicing martial arts and going on interesting road trips with his wife and two kids.  Miles lives in Minneapolis, Minnesota.

      Aashish Sheshadri
      Aashish Sheshadri

      Senior Research Engineer

      Aashish Sheshadri is a Senior Research Engineer at PayPal ideating and applying deep learning to various avenues. He received his MS in Computer Science from he University of Texas at Austin where he made several contributions to the state-of-the-art in Human-in-the-Loop Machine Learning ecosystems. He currently applies machine learning to monitoring and alerting at PayPal. At PayPal he also enables teams access deep learning models as a service.

      Aashish Sheshadri is speaker of the following session:

      Mohammad Shokoohi-Yekta
      Mohammad Shokoohi-Yekta

      Former Senior Data Scientist, Apple, and joining Microsoft soon

      Mohammad is a Senior Data Scientist and Lecturer at Stanford University, and the co-founder of MedicalBlockchain.ai. He worked at Apple in California for 4 years, Samsung, Bosch, General Electric Research and UCLA on predictive modeling projects. He received a PhD in Computer Science from the University of California, Riverside and B.Sc. from University of Tehran. Mohammad is the author of the book, ‘Applications of Mining Massive Time Series Data'. He has also been a keynote speaker at more than 30 Data Summits/Conferences around the globe.

      Mohammad Shokoohi-Yekta is speaker of the following session:

      Yong Sun
      Yong Sun

      Supervisor

      Tech and Team leader for three divisions: autonomous driving and machine learning/deep learning, simulations at Isuzu technical Center of America. First authored multiple technical papers on autonomous driving, Machine learning and simulations. Speaker at various conferences, including  Autonomous Vehicle Test & Development Symposium 2018, Autonomous Vehicles Silicon Valley 2019, SAE world congress 2018/2019, Autonomous driving and future mobility 2019.

      Yong Sun is speaker of the following session:

      Luming Wang
      Luming Wang

      Head of Data

      Luming is Head of Data at Millennium Management where he leads an effort to build the world’s leading data platform to help the firm to deliver the alternative investment industry's highest quality returns to investors.

      Previously, Luming was the head of deep learning at Uber where his team built the most advanced deep learning platform in the world. Prior to Uber, Luming held various leadership positions at Microsoft and Amazon. Luming holds a Master’s degree of Computer Science from the Graduate School of the Chinese Academy of Sciences.

      Luming Wang is speaker of the following session:

      Ryan Wolbeck
      Ryan Wolbeck

      Data Scientist

      Ryan is an experienced Data Scientist and Statistician who utilizes advanced machine learning techniques to provide innovative solutions to the transportation space. He received his Masters of Science in Applied Economics at the University of North Dakota, and previously worked in the healthcare industry with United Health Group doing advanced pharmaceutical research. Currently, he works with Trimble as a part of Trimble Transportation Mobility in the Minnetonka Minnesota office.

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