Mega-PAW Las Vegas Speakers

June 16-20, 2019 – Caesars Palace

PAW Business

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.

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:

Simon Ringuette
Simon Ringuette

Senior Architect

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

Simon Ringuette is speaker of the following session:

Rob Rolleston
Rob Rolleston

Manager, Data Science

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

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

Rob Rolleston is speaker of the following session:

Mohammad Shokoohi-Yekta
Mohammad Shokoohi-Yekta

Senior Data Scientist

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

Mohammad Shokoohi-Yekta is speaker of the following session:

Michael Steliaros
Michael Steliaros

Managing Director

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

Michael Steliaros is speaker of the following session:

Nathan Susanj
Nathan Susanj

Vice President, Data Science Manager

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

William WIlkins
William WIlkins

Chief Risk and Data Analytics Officer

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

William WIlkins is speaker of the following session:

Theodore Ziton
Theodore Ziton

Vice President - Risk Analytics

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

Theodore Ziton is speaker of the following session:

PAW Healthcare

Cheong Ang
Cheong Ang

Workflow AI Project Lead

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

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

Dyann Daley MD
Dyann Daley MD

Founder and CEO

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

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

Dyann Daley MD is speaker of the following session:

Jeff Deal
Jeff Deal

Chief Operating Officer

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

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

Jeff Deal is speaker of the following session:

Jeff Deal is moderator of the following session:

Dan Fisher
Dan Fisher

VP Life Sciences

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

Dan Fisher is speaker of the following session:

Casey Gentry
Casey Gentry

Senior Manager Engineering/Analytics

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

Casey Gentry is speaker of the following session:

Sara Golas
Sara Golas

Senior Data Specialist

Partners HealthCare Pivot Labs

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

Sara Golas is speaker of the following session:

Chip Hart
Chip Hart

Director of Pediatric Solutions

Physician’s Computer Company

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

Jeff Heaton
Jeff Heaton

VP, Data Scientist

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

Jeff Heaton is speaker of the following session:

Steve Lamb
Steve Lamb

Principal

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

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

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

Steve Lamb is speaker of the following session:

Michael Monteith
Michael Monteith

Chief Executive Officer & Co-Founder

Mike is an accomplished entrepreneur and seasoned leader with over 26 years of experience in technology companies and professional services-based consulting. Mike serves as CEO and co-founder of ThoughtWire, a leader in an emerging category of applications called Operations Performance Management (OPM) which has been recognized by Gartner as a 2016 Cool Vendor in Healthcare Providers. Prior to starting ThoughtWire, Mike was a technology consultant acting as a senior advisor to both public and private sector organizations. Mike's broad experience encompasses business and enterprise strategy, IT strategy, enterprise architecture and large-scale program implementation.

Over the last decade, Mike has become a highly sought-after leader uniquely capable of bridging the gap between business innovation and IT enablement. Mike is considered to be one of the leading experts on healthcare information technology in Canada; a sector for which integration and interoperability is the single largest challenge facing the modernization of the industry.

Information about Michael Monteith's session will follow soon.

Jamie Netherton
Jamie Netherton

Senior Analyst

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

Jamie Netherton is speaker of the following session:

Jorn op den Buijs
Jorn op den Buijs

Senior Scientist

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

Jorn op den Buijs is speaker of the following session:

Gerhard Pilcher
Gerhard Pilcher

President & CEO

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

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

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

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

Karl Rexer
Karl Rexer

President

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

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

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

Professor of Public Policy at the College of William & Mary, former Secretary of Health & Human Resources for the Commonwealth of Virginia, former Deputy for Policy to the Administrator of the Center

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

Mohammad Shokoohi-Yekta
Mohammad Shokoohi-Yekta

Senior Data Scientist

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

Mohammad Shokoohi-Yekta is speaker of the following session:

David Talby Ph.D
David Talby Ph.D

Chief Technology Officer

Pacific AI

David Talby is a chief technology officer at Pacific AI, helping fast-growing companies apply big data and data science techniques to solve real-world problems in healthcare, life science, and related fields. David has extensive experience in building and operating web-scale data science and business platforms, as well as building world-class, Agile, distributed teams. Previously, he was with Microsoft's Bing Group, where he led business operations for Bing Shopping in the US and Europe, and worked at Amazon both in Seattle and the UK, where he built and ran distributed teams that helped scale Amazon’s financial systems. David holds a PhD in computer science and master’s degrees in both computer science and business administration.

Nathan Patrick Taylor
Nathan Patrick Taylor

Data Scientist

DataRobot

Nathan Patrick Taylor is currently serving as a Customer Facing Data Scientist at DataRobot.  Prior to joining DataRobot, Nathan was the Director of Data Science and Analytics at Symphony Post-Acute Network.  His projects ranged from producing clinical intelligence dashboards to developing and integrating predictive models into electronic health record system workflows.  While at Symphony, Nathan was named a “Data Science Superhero” by DataRobot. 

Nathan was invited to lead the Healthcare User Group at Alteryx, a role he still holds today, and is a Core Certified Alteryx user.  He is also an AHIMA Certified Health Data Analyst and a HIMSS Certified Professional in Healthcare Information and Management Systems.

Nathan completed his Bachelor of Science in Computer Science at Huntington University.  He also holds a Master of Public Health and Master of Science in Management Information Systems, both from Benedictine University where he serves as a senior lecturer in the graduate business analytics program.  Nathan is currently working on his PhD in Health Science at Northern Illinois University.

Nathan Patrick Taylor is speaker of the following session:

Erich Wohlhieter Ph.D
Erich Wohlhieter Ph.D

Executive Director, Digital Health & Innovation

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

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

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

Instructor

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

Cal Zemelman
Cal Zemelman

Director, Lead Data Scientist

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

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

Cal Zemelman is speaker of the following session:

PAW Industry 4.0

Ritesh Agrawal
Ritesh Agrawal

Senior Data Scientist

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

Meltem Ballan Ph.D
Meltem Ballan Ph.D

Chief Data & Analytics Office

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

Richard Boire
Richard Boire

Senior Vice President

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

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

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

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

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

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

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:

Ryohei Fujimaki
Ryohei Fujimaki

CEO

dotData

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

Ryohei Fujimaki is speaker of the following session:

Krishna Kallakuri
Krishna Kallakuri

President, diwo – Cognitive Decision Making Platform

Krishna’s visionary leadership and delivery of transformational BI and Analytics initiatives to leading Fortune 500's has landed the practice he has founded on the Midwest’s Fastest-Growing list. As CEO of DatafactZ, His passion for Advanced Analytics, Cognitive Technologies and Artificial Intelligence has led to pioneering work. Krishna recently launched diwo, a unique cognitive decision-making platform developed by Loven Systems that reveals hidden business opportunities in real-time and empowers business users to act on them.

Krishna Kallakuri is speaker of the following session:

Vanessa Lam
Vanessa Lam

Manager, Business Intelligence

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

Vanessa Lam is speaker of the following session:

Jack Levis
Jack Levis

Senior Director, Process Management

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

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

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

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

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

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

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

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

Jack Levis is speaker of the following session:

Wes Madrigal
Wes Madrigal

Machine Learning Engineer

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

Wes Madrigal is speaker of the following session:

Jaya Mathew
Jaya Mathew

Senior Data Scientist

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

Jaya Mathew is speaker of the following session:

Dave McCarthy
Dave McCarthy

Vice President, IoT Solutions

Dave McCarthy is a leading authority on industrial IoT. As vice president at Bsquare Corporation, he advises Fortune 1000 customers on how to integrate device and sensor data with their enterprise systems to improve business outcomes. Dave regularly speaks at technology conferences around the globe and recently delivered the keynote presentation at Internet of Things North America. Dave earned an MBA with honors from Northeastern University.

Dave McCarthy is speaker of the following session:

Steve Miller
Steve Miller

Vice President, Controls and Protection Division

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

Irene Petrick
Irene Petrick

Senior Director of Industrial Innovation

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

Steven Ramirez
Steven Ramirez

CEO

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

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

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

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

Anando Sen
Anando Sen

Product Manager

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

Mohammad Shokoohi-Yekta
Mohammad Shokoohi-Yekta

Senior Data Scientist

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

Mohammad Shokoohi-Yekta is speaker of the following session:

Nicole Antoinette Smith
Nicole Antoinette Smith

Lecturer

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

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

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

Nicole Antoinette Smith is speaker of the following sessions:

Lyle Sprinkle
Lyle Sprinkle

Director: Meters, Relays & IoT Solutions

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

Greg Stevens
Greg Stevens

Manager, Advanced Analytics

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

Greg Stevens is speaker of the following session:

Yong Sun
Yong Sun

Supervisor

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

Yong Sun is speaker of the following session:

Nathan Patrick Taylor
Nathan Patrick Taylor

Data Scientist

DataRobot

Nathan Patrick Taylor is currently serving as a Customer Facing Data Scientist at DataRobot.  Prior to joining DataRobot, Nathan was the Director of Data Science and Analytics at Symphony Post-Acute Network.  His projects ranged from producing clinical intelligence dashboards to developing and integrating predictive models into electronic health record system workflows.  While at Symphony, Nathan was named a “Data Science Superhero” by DataRobot. 

Nathan was invited to lead the Healthcare User Group at Alteryx, a role he still holds today, and is a Core Certified Alteryx user.  He is also an AHIMA Certified Health Data Analyst and a HIMSS Certified Professional in Healthcare Information and Management Systems.

Nathan completed his Bachelor of Science in Computer Science at Huntington University.  He also holds a Master of Public Health and Master of Science in Management Information Systems, both from Benedictine University where he serves as a senior lecturer in the graduate business analytics program.  Nathan is currently working on his PhD in Health Science at Northern Illinois University.

Nathan Patrick Taylor is speaker of the following session:

Robert Welborn
Robert Welborn

Head of Data Science, Connected Car

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

Deep Learning World

Arnab Chakrabarti
Arnab Chakrabarti

Senior Research Scientist

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

Arnab Chakrabarti is speaker of the following sessions:

Josh Chapman
Josh Chapman

Data Engineer

Josh Chapman is a Data Engineer with a background in network operations, software engineering and big data management. He is particularly interested in working with tools and techniques for moving and manipulating big data. He has a bachelors degree in Computer Science from the University of Minnesota, Morris. Josh's hobbies include international travel and DnD.

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:

Siddha Ganju
Siddha Ganju

Solutions Architect

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

Siddha Ganju is speaker of the following session:

Kunling Geng
Kunling Geng

Lead Data Scientist & AI Architect

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

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

Luba Gloukhova
Luba Gloukhova

Research Analytics Consultant

Luba Gloukhova facilitates and accelerates advanced research projects at a major R&D hub of the Silicon Valley. She supports Stanford GSB faculty by conceiving and generating innovative solutions that drive their cutting edge research.  Luba also serves as the founding chair of Deep Learning World, the premier conference covering the commercial deployment of deep learning.  

Luba received her master's in analytics from the University of San Francisco and her bachelors in both applied math and economics from Berkeley. Before her current position in academic research, she gained industry experience in analytics consulting, high frequency trading analysis, catastrophe risk modeling, and quantitative marketing. Luba also teaches yoga and enjoys an active lifestyle.

Luba Gloukhova is speaker of the following session:

Alex Glushkovsky
Alex Glushkovsky

Principal Data Scientist

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

Alex Glushkovsky is speaker of the following session:

Martin Gorner
Martin Gorner

Developer Relations

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

Jeff Heaton
Jeff Heaton

VP, Data Scientist

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

Jeff Heaton is speaker of the following session:

Steve Hoeg
Steve Hoeg

Director of Engineering

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

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

Steve Hoeg is speaker of the following session:

Armin Kappeler
Armin Kappeler

Sr. Research Engineer

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

Armin Kappeler is speaker of the following session:

Meher Kasam
Meher Kasam

Software Developer

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

Meher Kasam is speaker of the following session:

Chandra Khatri
Chandra Khatri

Senior AI Scientist

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

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

Chandra Khatri is speaker of the following session:

Anirudh Koul
Anirudh Koul

Head of AI & Research

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

Anirudh Koul is speaker of the following session:

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.

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.

Polina Mamoshina
Polina Mamoshina

Senior Research Scientist

Insilico Medicine

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

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

James McCaffrey
James McCaffrey

Senior Scientist Engineer

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

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

James McCaffrey is speaker of the following session:

Anand Oka
Anand Oka

Principal Program Manager Lead

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

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

Anand Oka is speaker of the following session:

Miles Porter
Miles Porter

Data Scientist

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

Mohammad Shokoohi-Yekta
Mohammad Shokoohi-Yekta

Senior Data Scientist

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

Mohammad Shokoohi-Yekta is speaker of the following session:

Yong Sun
Yong Sun

Supervisor

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

Yong Sun is speaker of the following session:

Luming Wang
Luming Wang

Head of Data

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

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

Luming Wang is speaker of the following session:

Ryan Wolbeck
Ryan Wolbeck

Data Scientist

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

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