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.
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.
I co-taught a Spectral Methods Minicourse at Princeton University.
My research is supported in part by 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