David Sontag
Associate Professor of Electrical Engineering and Computer Science / Hermann L. F. von Helmholtz Career Development Professor, Institute for Medical Engineering and Science (IMES) at MIT Professional Education
Schools
- Sloan School of Management
- MIT Professional Education
Expertise
Links
Biography
MIT Professional Education
David Sontag joined the MIT faculty in 2017 as Hermann L. F. von Helmholtz Career Development Professor in the Institute for Medical Engineering and Science (IMES) and as Assistant Professor in the Department of Electrical Engineering and Computer Science (EECS). He is also a principal investigator in the Computer Science and Artificial Intelligence Laboratory (CSAIL). Professor Sontag’s research interests are in machine learning and artificial intelligence. As part of IMES, he leads a research group that aims to transform healthcare through the use of machine learning. Prior to joining MIT, Sontag was an Assistant Professor in Computer Science and Data Science at New York University’s Courant Institute of Mathematical Sciences from 2011 to 2016, and postdoctoral researcher at Microsoft Research New England from 2010 to 2011. He received the Sprowls award for outstanding doctoral thesis in Computer Science at MIT in 2010, best paper awards at the conferences Empirical Methods in Natural Language Processing (EMNLP), Uncertainty in Artificial Intelligence (UAI), and Neural Information Processing Systems (NIPS), faculty awards from Google, Facebook, and Adobe, and a NSF CAREER Award.
Videos
B3D | David Sontag, MIT | 2 April 2018
19. Disease Progression Modeling and Subtyping, Part 2
David Sontag (MIT) --- When Inference is Tractable
Machine Learning for Healthcare with MIT Prof. David Sontag
14. Causal Inference, Part 1
Machine Learning in Medicine | Challenges to Bringing Artificial Intelligence to Health Care
David Sontag: How Hard is Inference for Structured Prediction
6. Physiological Time-Series
MIA: David Sontag, Fredrik Johansson, AI for health needs causality
24. Robustness to Dataset Shift
4. Risk Stratification, Part 1
MLFPM Winter Symposium 2021: David Sontag
David Sontag: How is Machine Learning Going to Change Health Care?
1. What Makes Healthcare Unique?
5. Risk Stratification, Part 2
18. Disease Progression Modeling and Subtyping, Part 1
17. Reinforcement Learning, Part 2
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