David Sontag's Home Page

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

I am an Assistant Professor in NYU's Computer Science department, part of the Courant Institute of Mathematical Sciences. My research focuses on machine learning and probabilistic inference. My group is particularly interested in machine learning problems motivated by 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 and with 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.

News

Teaching

Spring 2014: Machine Learning and Computational Statistics (DS-GA-1003 and CSCI-GA.2567)
Fall 2013: Introduction to Machine Learning (CSCI-UA.0480-002)
Spring 2013: Probabilistic Graphical Models (CSCI-GA.3033-006)

Publications