Rockwell International Career Development Assistant Professor
David and Lucile Packard Fellow
Department of 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, which will be published in a revised form with Cambridge University Press.
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 by a David and Lucile Packard Fellowship, an NSF Large (with Barak, Kelner, Parrilo) CCF-1565235, an NSF CAREER Award, an Alfred P. Sloan Fellowship and a Google Research Award.
Email: "lastname" at mit dot edu
Offices: 2-472 (default) and 32-G594