David Sontag

David Sontag is a professor in MIT’s Department of Electrical Engineering and Computer Science (EECS) and head of the Clinical Machine Learning Group. He is also an investigator at the Institute for Medical Engineering and Science (IMES), the Abdul Latif Jameel Clinic for Machine Learning in Health and the Computer Science and Artificial Intelligence Laboratory (CSAIL). His research focuses on advancing machine learning and artificial intelligence tools, and using those tools to transform health care. He and his group develop algorithms that use data to make better clinical predictions; create novel methods for answering causal queries that work effectively with high-dimensional data; and are building a foundation for the next-generation of intelligent electronic health records.

Selected Publications

• Mozannar, H., Lee, J. J.,  Wei, D., Sattigeri, P., Das, S., Sontag, D. (2023). Effective Human-AI Teams via Learned Natural Language Rules and Onboarding. Conference on Neural Information Processing Systems (NeurIPS).
• Mozannar, H., Lang, H., Wei, D., Sattigeri, P., Das, S., Sontag, D. (2023). Who Should Predict? Exact Algorithms For Learning to Defer to Humans. International Conference on Artificial Intelligence and Statistics (AISTATS).
• Oberst, M., Johansson, F., Wei, D., Gao, T., Brat, G., Sontag, D., Varshney, K. (2020). Characterization of Overlap in Observational Studies. International Conference on Artificial Intelligence and Statistics (AISTATS).

Media

• January 9, 2020: MIT News, How well can computers connect symptoms to diseases?
• July 24, 2019: MIT News, Want to know what software-driven health care looks like? This class offers some clues.
• July 21, 2019: MIT News, Prime Minister Mark Rutte of the Netherlands tours MIT.