Special IMES/EECS Seminar: David Sontag "How is Machine Learning Going to Change Health Care?"

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Event Speaker: 

David Sontag

Event Location: 

32-G449

Event Date/Time: 

Monday, April 11, 2016 - 4:00pm
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 a few of my group's recent advances in machine learning
that have the potential to have a major impact in health care. The
talk will focus in particular on a new approach to learning from
temporal data, coupling deep learning with probabilistic inference.
Applied to learning disease progression models from clinical data, our
algorithms learn a rich representation that is capable of answering
counterfactual questions such as which treatment is most appropriate
to which patient, providing a new theoretical framework for precision
medicine.

Bio: David Sontag is an Assistant Professor at New York University's
Courant Institute of Mathematical Sciences and Center for Data
Science. His research is on machine learning and approximate inference
in graphical models, with an emphasis on applications to health care.
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.