Assistant Professor of Applied Mathematics, Massachusetts Institute of Technology
Principal Investigator, Computer Science and Artificial Intelligence Laboratory
I am a theoretical computer scientist, and a major goal in my work is to give algorithms with provable guarantees for various problems in machine learning. See my publications and talks for more information. I am a member of the Theory of Computation group, MachineLearning@MIT and an affiliate with the Center for Statistics.
If you are interested in recent developments in algorithms for machine learning, check out these lecture notes!
I co-taught Learning at Scale, a summer school at MADALGO in 2014.
I co-organized Overcoming Intractability in Unsupervised Learning at STOC 2014.
I co-organized Topic Models: Computation, Application, and Evaluation at NIPS 2013.
My research is supported in part by an Alfred P. Sloan Fellowship, an Edmund F. Kelley Research Award, a Google Research Award, a grant from the MIT NEC Corporation and an NSF CAREER Award.
Email: "lastname" at mit dot edu
Offices: 2-472 (default) and 32-G594