Research: My main research interests are in algorithms and machine learning. A major goal of my work is to understand the tradeoff between statistical efficiency, computational efficiency, and robustness for fundamental problems in statistics and machine learning. Areas of current interest include high-dimensional robust statistics/learning, nonparametric estimation, and distribution testing. I also have strong interests in applied probability, algorithmic game theory, and their connections to machine learning.

Funding: My research has been supported by an NSF CAREER Award, an NSF AITF Award, a DARPA grant, a Sloan Research Fellowship, a Google Faculty Research Award, a Marie Curie Career Integration Grant, and an EPSRC grant.