David Sontag is an Assistant Professor of Computer Science and Data Science at NYU. Computer Science is part of the Courant Institute of Mathematical Sciences. His research focuses on machine learning and probabilistic inference, with a particular focus on applications to clinical medicine, and he organized the machine learning in healthcare workshop at the 2015 NIPS conference. David is developing algorithms to learn probabilistic models for medical diagnosis directly from unstructured clinical data, automatically discovering and predicting latent (hidden) variables. He collaborates with the Emergency Medicine Informatics Research Lab at Beth Israel Deaconess Medical Center, NYU Langone Medical Center, and Independence Blue Cross.