Eric Williams, PhD

Director of Data Science, Omada Health

Session

What Healthcare Can Learn from Netflix: Building Personalization and Optimization into Preventative Care

There is widespread agreement that lifestyle focused preventative approaches are the most effective way to combat conditions like diabetes and heart disease, but behavior change is hard, and to date, even the most effective in-person programs include little (or no) personalization.

Omada is changing that. We’ve built machine learning and experimentation directly into the product, leveraging vast amounts of participant data to create a system that continually improves in maximizing participant outcomes. Omada is reinventing the approach to preventive behavioral health research and, in the process, we are unlocking a scalable, clinically-effective, and customizable approach to combating the chronic disease epidemic.

What you’ll learn:

  • The importance of a data-science culture
  • The potential of ‘self-learning’ healthcare systems to achieve new velocities in behavioral science discovery
  • How to incorporate experimentation directly into the product to create a virtuous cycle of intervention optimization
  • Insights and learnings from our exploration of what works, and what doesn’t, in inspiring healthy behavior change

Biography

Eric Williams is Director of Data Science at Omada Health. As an undergraduate Eric studied physics at UC Berkeley, later receiving his PhD from Columbia University in Particle Physics. He was a Researcher at CERN for several years and a Postdoctoral Scholar at Memorial Sloan-Kettering Cancer Center before joining Omada Health in 2014. At Omada, Eric’s team focuses on the data science of behavior change – leveraging analysis, machine learning and experimentation to lower the global burden of obesity related chronic disease. He also volunteers with DataKind, an organization devoted to helping social organizations tackle critical humanitarian issues using data.