David Sontag's Home Page

E-mail: dsontag {@ | at} mit.edu

Clinical machine learning group website

I am an Assistant Professor of Electrical Engineering and Computer Science at MIT, part of both the Institute for Medical Engineering & Science and the Computer Science and Artificial Intelligence Laboratory. My research focuses on advancing machine learning and artificial intelligence, and using these to transform health care. We collaborate with the Emergency Medicine Informatics Research Lab at Beth Israel Deaconess Medical Center, NYU Langone Medical Center, and Independence Blue Cross.

Previously, I was an Assistant Professor of Computer Science and Data Science at New York University, part of the CILVR lab, and a post-doc at Microsoft Research New England. My Ph.D. is in Computer Science from MIT, where I worked with Tommi Jaakkola on approximate inference and learning in probabilistic models. My bachelors degree is from UC Berkeley, in Computer Science, where I worked with Stuart Russell's First-Order Probabilistic Logic group.



Fall 2017: Machine Learning (6.867)
Spring 2017: Machine Learning for Healthcare (6.S897, HST.S53)
Fall 2016: Inference and Representation (DS-GA-1005 and CSCI-GA.2569)
Spring 2016: Introduction to Machine Learning (CSCI-UA.0480-007)