David Sontag's Home Page

E-mail: dsontag {@ | at} cs.nyu.edu
Phone: 212-998-3498 (office)
Clinical machine learning group website

I am an Assistant Professor of Computer Science and Data Science at NYU. Computer Science is part of the Courant Institute of Mathematical Sciences. My research focuses on machine learning and probabilistic inference, with a particular focus on applications to clinical medicine. For example, we are developing algorithms to learn probabilistic models for medical diagnosis directly from unstructured clinical data, automatically discovering and predicting latent (hidden) variables. 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 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.



Spring 2016: Introduction to Machine Learning (CSCI-UA.0480-007)
Fall 2015: Inference and Representation (DS-GA 1005)
Fall 2014: Inference and Representation (DS-GA-1005 and CSCI-GA.2569)
Spring 2014: Machine Learning and Computational Statistics (DS-GA-1003 and CSCI-GA.2567)
Fall 2013: Introduction to Machine Learning (CSCI-UA.0480-002)