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).

Information about Dean Abbott's session will follow soon.

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.

Information about Gary Anderberg's session will follow soon.

Gil Arditi
Gil Arditi

Product Lead, Machine Learning

Gil serves as the head of Lyft's Machine Learning Platform. Previously he was co-founder of Octarine, a security startup, and VP Product of Reflektion, an e-commerce personalization company, and AppDirect, the largest B2B app marketplace. Gil also spent a few years in product positions at Google in the Ads group, where he helped integrate YouTube and DoubleClick after their acquisition.

Information about Gil Arditi's session will follow soon.

Munish Arora
Munish Arora

Senior Director

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.

Information about Munish Arora's session will follow soon.

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.

Information about Ashish Bansal's session will follow soon.

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.

Information about Yoram Bauman's session will follow soon.

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.

Information about Richard Boire's session will follow soon.

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.

Information about Bob Bress's session will follow soon.

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.

Information about Arnab Chakrabarti's session will follow soon.

Dave Chan
Dave Chan

Vice President, Digital Innovation & Business Intelligence

Informa / UBM

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.

Information about Dave Chan's session will follow soon.

Stephen Chen
Stephen Chen

Director of Strategic Analytics

Leo Burnett

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.

Information about Stephen Chen's session will follow soon.

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

Information about Lawrence Cowan's session will follow soon.

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. 

Information about Dyann Daley MD's session will follow soon.

Joe DeCosmo
Joe DeCosmo

Chief Analytics Officer

Joe joined Enova as Chief Analytics Officer in 2014. As CAO, Joe leads a multi-disciplinary analytics team that provides end-to-end data and analytic services including data warehousing, business intelligence, business analytics, fraud, credit risk and marketing. His team supports the global online financial services offered by Enova International and delivers on-demand decision-making technology and real-time predictive analytics services to clients through the Enova Decisions® brand. Prior to working at Enova, he served as Director and Practice Leader of Advanced Analytics for Chicago-based West Monroe Partners. He has also held a number of executive positions at HAVI Global Solutions and the Allant Group. Joe received a B.A. in economics from Lewis University and an M.A. in economics from the University of Illinois at Chicago. He is Immediate Past-President of the Chicago Chapter of the American Statistical Association and is on the Advisory Board of the UIC College of Business Administration. Joe lives in the Chicago area with his wife and daughters.

Information about Joe DeCosmo's session will follow soon.

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.

Information about Brian Duke's session will follow soon.

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 and Washington DC. 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, and was named by President Bush to serve 5 years on a panel to guide technology for national security.

Information about John Elder Ph.D.'s session will follow soon.

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.

Information about Eric J. Felsberg's session will follow soon.

Michael Finger
Michael Finger

Software Architect, Marketing

Michael Finger serves as a Software Architect in Marketing for Overstock.com where he manages the strategic day to day operations of email, promotions, and online marketing/AdTech development teams. In this role, he has implemented ad biddings, browser push, and Button/iBotta affiliate integration.

Michael joined Overstock.com in 2007 as a senior software developer, and his since held several roles during his time with the company. He held roles in software development in both product and finance, where he integrated bitcoin payment on Overstock.com and managed operations for internal search, personalization, and Club O loyalty program development teams.

He received a Bachelor’s Degree in Computer Sciences from the University of Texas at Austin and currently resides in Salt Lake City, Utah. He additionally volunteers with the Salt Lake County Sherriff’s Search and Rescue Team as an Assistant Commander.

Information about Michael Finger's session will follow soon.

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.

Information about Josh Frank's session will follow soon.

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.

Information about Siddha Ganju's session will follow soon.

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.

Information about Chenyu (Jim) Gao's session will follow soon.

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.

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Information about Kunling Geng's session will follow soon.

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.

Information about Alex Glushkovsky's session will follow soon.

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.

Information about Jeff Heaton's session will follow soon.

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.

Information about Keith Higdon's session will follow soon.

Steve Hoeg
Steve Hoeg

Senior Engineering Manager

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.

Information about Steve Hoeg's session will follow soon.

Bill Hoffman
Bill Hoffman

Chief Growth Officer & Employee Practice Leader

Elicit, LLC

Bill Hoffman is Chief Growth Officer at Elicit, a high-end boutique consultancy that helps clients leverage analytics and technology to drive business value.  Prior to Elicit, Bill served as Chief Analytics Officer and Head of CRM at U.S. Bank and previously held a similar role at Best Buy.  He is ex-McKinsey and also worked at Gallup and the Federal Reserve.  He is a Navy Veteran and began his career at the Central Intelligence Agency.  He is also Founder of Vetalytics, created to harness the power of analytics in service of improving the lives of US military Veterans.

Information about Bill Hoffman's session will follow soon.

Robert M. Horrobin
Robert M. Horrobin

AVP of Advanced Analytics and Planning, Retirement Solutions Division

Rob oversees 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.

Information about Robert M. Horrobin's session will follow soon.

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.

Information about Armin Kappeler's session will follow soon.

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’.

Information about Meher Kasam's session will follow soon.

Nav Kesher
Nav Kesher

Head of Data Sciences, Facebook Marketplace Experience

Information about Nav Kesher's session will follow soon.

Chandra Khatri
Chandra Khatri

Senior AI Scientist

Information about Chandra Khatri's session will follow soon.

Jonathan Klein
Jonathan Klein

Founder & CEO

Jonathan Klein is Founder and CEO of Ex Parte, a developer of legal analytics that provides companies with data and insight to make smart and informed decisions on the most important legal issues facing an organization. Klein founded Ex Parte in 2017 with the vision to empower corporations with the knowledge they need to make critical decisions such as whether to litigate, settle, where to file suit or which attorney to hire. Prior to founding Ex Parte, Klein held various executive positions at business intelligence leader MicroStrategy over a 17 year period; most recently as President and Chief Legal Officer. He holds a BA in Economics from Amherst College and earned a Juris Doctor of Law from Harvard Law School.

Information about Jonathan Klein's session will follow soon.

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.

Information about Anirudh Koul's session will follow soon.

Vishal Kumar
Vishal Kumar

CEO

Vishal Kumar is internationally recognized big data thought leader. He has helped with crafting successful big data strategies for several fortune 100 to startup companies. He has helped with policy design for several government bodies. He frequently speaks, keynotes and participates on panels, across several international events. He has authored two books and played investor and advisor to several big data startups.

Information about Vishal Kumar's session will follow soon.

Robert Lake
Robert Lake

Senior Manager, Data Science

Robert specializes in aligning customer needs to practical solutions that accelerate value and positive behaviors. He has a lifetime passion for strategic decision-making and performance management. Currently he is leading a team of talented Data Scientists in the Cisco Offer Life Cycle group. Robert led the establishment of Data Science as a core competency across the enterprise.

Robert Lake is an Innovative Data Science / Advanced Analytics Executive who builds high-performance data science teams, cultivates collaborative relationships, and manages complex, multi-dimensional databases. His approach is to simplify the complexity surrounding big data and analytics while creating self-belief in others that they can achieve anything they put their minds to. Robert is passionate about accelerating the value of companies and organizations through their decision making systems. Robert was the subject of an article “Data Science as a Team Sport” by TDWI. His work has also been highlighted in the top selling book “Analytics: How to win with intelligence” John K Thompson and Shawn Rogers.

Robert is a 10-year veteran of the British Army. Enjoying married life with his soul-mate and being a father to two young curious boys. Robert received his BSc (Hons) Computer Science and MSc Advanced Manufacturing Systems from Teesside University, United Kingdom.

Information about Robert Lake's session will follow soon.

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.

Information about Richard Lee's session will follow soon.

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.

Information about Peter Lenz's session will follow soon.

Bhakthi Liyange
Bhakthi Liyange

VP, Data Science Lead

Bhakthi Liyanage is a seasoned IT professional with many years of industry experience, Microsoft MVP on AI, currently working as a Data Science Lead at one of the largest banks in the US where he leads projects to provide predictive analytics and AI solutions for complex business problems.

Information about Bhakthi Liyange's session will follow soon.

Przemek Maciołek, PhD
Przemek Maciołek, PhD

VP of Research & Development

Collective Sense

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.

Information about Przemek Maciołek, PhD's session will follow soon.

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 signaling pathway activation analysis to biomarker discovery, drug discovery and drug repurposing for aging 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 aging 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 aging and disease.

Information about Polina Mamoshina's session will follow soon.

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.

Information about Shingai Manjengwa'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.

Information about James McCaffrey'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.

Information about Olaf Menzer's session will follow soon.

Alexander Moy
Alexander Moy

AVP, Enterprise Analytics & Data Science

Alex Moy is Assistant Vice President of Enterprise Analytics and Data Science at BB&T, where he helps the organization develop data assets for enterprise use and leads the BB&T Tableau Center of Excellence.  Previously, he led marketing automation efforts and developed BI solutions.  Alex is a banker turned data scientist, focused on practical applications of data science and driving business value. He holds a BS in Finance from Old Dominion University.  

Alex resides outside of Winston-Salem, NC with his wife, Terri, their daughter, Kailey, and Shih-Poo, Kyla.  When not geeking out over data, Alex can be found on the soccer field or playing the piano.

Information about Alexander Moy's session will follow soon.

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.

Information about Mei Najim's session will follow soon.

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.

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.

Information about Bob Nisbet's session will follow soon.

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.

Information about Anand Oka'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.

Information about Zeydy Ortiz's session will follow soon.

Padrum Panbechi
Padrum Panbechi

Sales Analytics Lead

Information about Padrum Panbechi's session will follow soon.

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.

Information about Timothy Park's session will follow soon.

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.

Information about Brian Pearson's session will follow soon.

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. 

Information about Andreas Petrides's session will follow soon.

Daniel Porter
Daniel Porter

Co-Founder

BlueLabs

Daniel Porter is the cofounder of BlueLabs, a Washington DC based analytics, data and technology company whose clients include political campaigns, nonprofits and corporations.

Prior to founding BlueLabs, Daniel was Director of Statistical Modeling for the 2012 Obama reelection campaign. His team developed individual level statistical models that were used throughout the campaign for fundraising, media buying and state strategy. These models served two primary purposes: to pinpoint which voters were most likely to take an action or hold a belief (i.e. support the President or turn out to vote) as well as to measure the influence a campaign contact had on an individual's likelihood to take such actions or change their beliefs. Combined, these measures helped the campaign optimize their targeting to maximize their return on investment.

Information about Daniel Porter's session will follow soon.

Miles Porter
Miles Porter

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.

Information about Miles Porter's session will follow soon.

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.

Information about Jennifer Prendki's session will follow soon.

Nick Pylypiw
Nick Pylypiw

Manager

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.

Information about Nick Pylypiw's session will follow soon.

Lily Quinto-Banton
Lily Quinto-Banton

Lead Data Scientist

Lily is a Lead Data Scientist 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.

Information about Lily Quinto-Banton's session will follow soon.

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.

Information about Tauseef Rahman's session will follow soon.

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.

Information about Steven Ramirez's session will follow soon.

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.

Information about Karl Rexer's session will follow soon.

Anne G. Robinson
Anne G. Robinson

Executive Director, Strategy, Analytics and Systems

Anne G. Robinson is the Executive Director of Global Supply Chain Strategy, Analytics and Systems, at Verizon, a Fortune 15 company and leading provider of wireless, fiber-optic and global internet networks and services. She is responsible for the overarching strategic vision across Verizon's end-to-end supply chain which includes the wireless consumer supply chain, network supply chain, video and internet supply chain as well as global sourcing and procurement. Additionally, her team drives supply chain excellence through world class data-analytics, process innovation, and employee empowerment to achieve a holistic, collaborative and customer centric supply chain organization, that results in improved product life cycle management, working capital optimization, and shareholder value.

Prior to joining Verizon Wireless, Anne spent several years with Cisco Systems, a high tech networking company, where her responsibilities included managing advanced analytics, business intelligence, and performance management teams across the supply chain. As the driving force for many foundational and cross-functional process innovations, she helped establish Cisco's presence and recognition as a leader in business intelligence and analytics, including being inducted into the balanced scorecard hall of fame.

Anne is originally from St. John's, Newfoundland, Canada. She has a Bachelor of Science with Honours in Mathematics from Acadia University, a Master of Applied Science in Management Science from University of Waterloo and a Masters and PhD in Industrial Engineering from Stanford University.

Anne is a Past President of INFORMS (the Institute for Operations Research and the Management Sciences), a professional organization focused on applying advanced analytical theory and practice for making better business decisions. She is a popular industry speaker and has served on several advisory boards including the advisory board for the Stevens Institute of Technology Masters Of Science in Business Intelligence & Analytics. A constant champion for analytics, Anne is the founding editor of INFORMS Editor's Cut, an online multimedia collection examining important topics in operation research and analytics. A frequent tweeter, you can follow Dr. Robinson @agrobins.

Information about Anne G. Robinson's session will follow soon.

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.

Information about Chris Robison's session will follow soon.

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.

Information about Rob Rolleston's session will follow soon.

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).

Information about Allan Sammy's session will follow soon.

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.

Information about Dan Sarkar's session will follow soon.

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. 

Information about Mark Shafer's session will follow soon.

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.

Information about Marc Smith's session will follow soon.

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

Information about Michael Steliaros's session will follow soon.

Yong Sun
Yong Sun

Supervisor

Leading big data analysis and autonomous driving team at Isuzu Technical Center of America. Graduated in Aerospace Engineering University of Michigan. Previous worked at Oak Ridge national lab and engineering consulting company - Ricardo. Experience with multiple automotive systems and new technologies. Current focus is on inventing new questions which are not possible before and  utilizing new technologies on solving existing questions. First authored Multiple technical papers and presentations on simulation, autonomous driving, big data analysis.

Information about Yong Sun's session will follow soon.

Patrick Surry
Patrick Surry

Chief Data Scientist

Hopper

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.

Information about Patrick Surry's session will follow soon.

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.

Information about Nathan Susanj's session will follow soon.

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.

Information about James Taylor's session will follow soon.

Luming Wang
Luming Wang

Head of Data

Millennium Management

Information about Luming Wang's session will follow soon.

Tom Warden
Tom Warden

SVP, Chief Data and Analytics Officer

Information about Tom Warden's session will follow soon.

Steve Weiss
Steve Weiss

Content Manager, Data Science and Business Analytics

Steve Weiss is content manager for the Data Science and Business Analytics course libraries at LinkedIn Learning/Lynda.com. His focus is on developing learning resources that support LinkedIn's mission in connecting the world's professionals to make them more productive and successful. He spends a lot of time building a growing network of top tech experts who have a passion for teaching; tracking an exponentially growing group of topic and sub-topic areas; and interacting with the members of the data science and analytics community to help them get sh*t done in the name of science, logical thinking, and improving the world we share and live in.

Information about Steve Weiss's session will follow soon.

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.

Information about William WIlkins's session will follow soon.

Alex Zhavoronkov
Alex Zhavoronkov

CEO

Insilico Medicine

Dr. Zhavoronkov is the founder and CEO of Insilico Medicine, a leader in the next-generation artificial intelligence for drug discovery, biomarker development, and aging research. Prior to Insilico, he worked in senior roles at ATI Technologies, NeuroG Neuroinformatics, the Biogerontology Research Foundation and YLabs.AI. Since 2012 he published over 100 peer-reviewed research papers and two books. He organizes the annual Aging Research for Drug Discovery (5th annual) and Artificial Intelligence and Blockchain for Healthcare forums at EMBO/Basel Life in Basel. Dr. Zhavoronkov is an adjunct professor at the Buck Institute for Research on Aging.

Information about Alex Zhavoronkov's session will follow soon.

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.

Information about Theodore Ziton's session will follow soon.

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

Senior Director

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:

Joe DeCosmo
Joe DeCosmo

Chief Analytics Officer

Joe joined Enova as Chief Analytics Officer in 2014. As CAO, Joe leads a multi-disciplinary analytics team that provides end-to-end data and analytic services including data warehousing, business intelligence, business analytics, fraud, credit risk and marketing. His team supports the global online financial services offered by Enova International and delivers on-demand decision-making technology and real-time predictive analytics services to clients through the Enova Decisions® brand. Prior to working at Enova, he served as Director and Practice Leader of Advanced Analytics for Chicago-based West Monroe Partners. He has also held a number of executive positions at HAVI Global Solutions and the Allant Group. Joe received a B.A. in economics from Lewis University and an M.A. in economics from the University of Illinois at Chicago. He is Immediate Past-President of the Chicago Chapter of the American Statistical Association and is on the Advisory Board of the UIC College of Business Administration. Joe lives in the Chicago area with his wife and daughters.

Joe DeCosmo 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:

Robert Lake
Robert Lake

Senior Manager, Data Science

Robert specializes in aligning customer needs to practical solutions that accelerate value and positive behaviors. He has a lifetime passion for strategic decision-making and performance management. Currently he is leading a team of talented Data Scientists in the Cisco Offer Life Cycle group. Robert led the establishment of Data Science as a core competency across the enterprise.

Robert Lake is an Innovative Data Science / Advanced Analytics Executive who builds high-performance data science teams, cultivates collaborative relationships, and manages complex, multi-dimensional databases. His approach is to simplify the complexity surrounding big data and analytics while creating self-belief in others that they can achieve anything they put their minds to. Robert is passionate about accelerating the value of companies and organizations through their decision making systems. Robert was the subject of an article “Data Science as a Team Sport” by TDWI. His work has also been highlighted in the top selling book “Analytics: How to win with intelligence” John K Thompson and Shawn Rogers.

Robert is a 10-year veteran of the British Army. Enjoying married life with his soul-mate and being a father to two young curious boys. Robert received his BSc (Hons) Computer Science and MSc Advanced Manufacturing Systems from Teesside University, United Kingdom.

Robert Lake 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:

Bhakthi Liyange
Bhakthi Liyange

VP, Data Science Lead

Bhakthi Liyanage is a seasoned IT professional with many years of industry experience, Microsoft MVP on AI, currently working as a Data Science Lead at one of the largest banks in the US where he leads projects to provide predictive analytics and AI solutions for complex business problems.

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.

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.

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.

Zeydy Ortiz is speaker of the following session:

Dave Pahl
Dave Pahl

VP - Analytics, Insights, and Data Science

I lead  a large team of analytics professionals at Northwestern Mutual across a number of teams: Data Sciences, Insight Services, Data Engineering, and Business Engagement and Advisory.  We deliver a full spectrum of analytics to our business partners ranging from ad-hoc data requests to sophisticated model development.  I have had a long career in IT at NM and more recently, for the last four years in Data Science and Analytics building NM's data science team from scratch.  I hold an Master of Science degree from Marquette University in Mathematics, Statistics, and Computer Science where I specialized in machine learning and optimization. 

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:

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:

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:

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

Gil Arditi
Gil Arditi

Product Lead, Machine Learning

Gil serves as the head of Lyft's Machine Learning Platform. Previously he was co-founder of Octarine, a security startup, and VP Product of Reflektion, an e-commerce personalization company, and AppDirect, the largest B2B app marketplace. Gil also spent a few years in product positions at Google in the Ads group, where he helped integrate YouTube and DoubleClick after their acquisition.

Information about Gil Arditi's session will follow soon.

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. 

Information about Dyann Daley MD's session will follow soon.

PAW Industry 4.0

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.

Information about Richard Boire's session will follow soon.

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. 

Information about Dyann Daley MD's session will follow soon.

Deep Learning World

Gil Arditi
Gil Arditi

Product Lead, Machine Learning

Gil serves as the head of Lyft's Machine Learning Platform. Previously he was co-founder of Octarine, a security startup, and VP Product of Reflektion, an e-commerce personalization company, and AppDirect, the largest B2B app marketplace. Gil also spent a few years in product positions at Google in the Ads group, where he helped integrate YouTube and DoubleClick after their acquisition.

Information about Gil Arditi's session will follow soon.

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.

Information about Arnab Chakrabarti's session will follow soon.

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. 

Information about Dyann Daley MD's session will follow soon.

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.

Information about Siddha Ganju's session will follow soon.

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.

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Information about Kunling Geng's session will follow soon.

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.

Information about Alex Glushkovsky's session will follow soon.

Martin Gorner
Martin Gorner

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.

Information about Martin Gorner's session will follow soon.

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.

Information about Jeff Heaton's session will follow soon.

Steve Hoeg
Steve Hoeg

Senior Engineering Manager

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.

Information about Steve Hoeg's session will follow soon.

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.

Information about Armin Kappeler's session will follow soon.

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’.

Information about Meher Kasam's session will follow soon.

Chandra Khatri
Chandra Khatri

Senior AI Scientist

Information about Chandra Khatri's session will follow soon.

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.

Information about Anirudh Koul's session will follow soon.

Bhakthi Liyange
Bhakthi Liyange

VP, Data Science Lead

Bhakthi Liyanage is a seasoned IT professional with many years of industry experience, Microsoft MVP on AI, currently working as a Data Science Lead at one of the largest banks in the US where he leads projects to provide predictive analytics and AI solutions for complex business problems.

Information about Bhakthi Liyange's session will follow soon.

Przemek Maciołek, PhD
Przemek Maciołek, PhD

VP of Research & Development

Collective Sense

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.

Information about Przemek Maciołek, PhD's session will follow soon.

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 signaling pathway activation analysis to biomarker discovery, drug discovery and drug repurposing for aging 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 aging 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 aging 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.

Information about James McCaffrey's session will follow soon.

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.

Information about Anand Oka's session will follow soon.

Miles Porter
Miles Porter

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.

Information about Miles Porter's session will follow soon.

Yong Sun
Yong Sun

Supervisor

Leading big data analysis and autonomous driving team at Isuzu Technical Center of America. Graduated in Aerospace Engineering University of Michigan. Previous worked at Oak Ridge national lab and engineering consulting company - Ricardo. Experience with multiple automotive systems and new technologies. Current focus is on inventing new questions which are not possible before and  utilizing new technologies on solving existing questions. First authored Multiple technical papers and presentations on simulation, autonomous driving, big data analysis.

Information about Yong Sun's session will follow soon.

Luming Wang
Luming Wang

Head of Data

Millennium Management

Information about Luming Wang's session will follow soon.

Alex Zhavoronkov
Alex Zhavoronkov

CEO

Insilico Medicine

Dr. Zhavoronkov is the founder and CEO of Insilico Medicine, a leader in the next-generation artificial intelligence for drug discovery, biomarker development, and aging research. Prior to Insilico, he worked in senior roles at ATI Technologies, NeuroG Neuroinformatics, the Biogerontology Research Foundation and YLabs.AI. Since 2012 he published over 100 peer-reviewed research papers and two books. He organizes the annual Aging Research for Drug Discovery (5th annual) and Artificial Intelligence and Blockchain for Healthcare forums at EMBO/Basel Life in Basel. Dr. Zhavoronkov is an adjunct professor at the Buck Institute for Research on Aging.

Information about Alex Zhavoronkov's session will follow soon.

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