Michael Yee

Dr. Michael Yee is a technical staff member in the Artificial Intelligence (AI) Technology Group. His research interests include robust and resilient AI, probabilistic programming, and sparse machine learning. Previous work has spanned information retrieval, text analytics, graph analytics, and distributed systems. Yee has been a recitation instructor for MIT's 6.033 Computer System Engineering undergraduate course and has helped teach the natural language week of a Beaver Works Summer Institute class for high school students.

Yee received his BS degree in mathematics and computer science from Gordon College and an SM and PhD in operations research from MIT. During his graduate studies, he enjoyed summer internships at a Department of Defense agency and at MIT Lincoln Laboratory. His dissertation focused on techniques for inferring decision-making processes informed by bounded rationality.