Title: How is Machine Learning Going to Change Health Care?
Speaker: David Sontag
Abstract: Machine learning has transformed the technology industry over the last decade, forming the basis for web search, speech recognition, product recommendations, and self-driving cars. With the increased adoption of electronic health records and a surge in funding for health IT startups, health care is undergoing a similar transformation. I will talk about how machine learning has the potential to change health care across the spectrum, from enabling the next-generation electronic health record to population-level risk stratification from health insurance claims (examples will come from my group’s work). These innovations will lead to increased quality of care and decreased cost.
Bio: David Sontag is an Assistant Professor at New York University’s Courant Institute and Center for Data Science. His research focuses on using machine learning to improve health care, including development of novel algorithms for early detection of Type 2 diabetes, modeling disease progression, electronic phenotyping, visualization, and clinical decision support in emergency departments. Prior to joining NYU, he was a postdoctoral researcher at Microsoft Research New England. David’s research has received recognition including the Sprowls Award for the best doctoral thesis in Computer Science at MIT, best paper awards at EMNLP, UAI and NIPS, and the NSF CAREER award.