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Data By the Bay is the first Data Grid conference matrix with 6 vertical application areas  spanned by multiple horizontal data pipelines, platforms, and algorithms.  We are unifying data science and data engineering, showing what really works to run businesses at scale.
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Friday, May 20 • 11:10am - 11:30am
What Healthcare Can Learn from Netflix: Personalizing and Optimizing Preventive Care

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There is widespread agreement that the most effective way to combat conditions like diabetes and heart disease is through a preventive approach centered on lifestyle and behavior change. But behavior change is hard, and to date, even the most effective in-person programs have included little (or no) personalization. Omada is changing that. Our team leverages open data to predict chronic health risk, and uses the power of analytics, machine learning, and experimentation to customize our interactive Prevent program for each individual. We’ve built experimentation directly into the product, using vast amounts of observational data to create a system that is continually improving to maximize participant outcomes and chronic disease risk reduction. Omada is reinventing the approach to preventive behavioral health research, its efficacy, and its application. In the process, we are unlocking a scalable, clinically-effective, and customizable approach to combating the chronic disease epidemic. Attendees will learn how analysis, machine learning, and experimentation can determine the best approach to motivate lasting behavior change in hard-to-reach populations – and how secondary data collected can be mined for unexpected value and insight. Additionally, they will learn, through examples, the mistakes and learnings of implementing an in-house clinical trial management system into a quickly growing company. Finally, attendees will learn how a customized, data-driven approach to chronic disease prevention has implications for the biggest public health challenge in American today.

Speakers
avatar for Eric Williams

Eric Williams

Director of Data Science, Omada Health
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... Read More →



Friday May 20, 2016 11:10am - 11:30am
Gardner

Attendees (12)