Researchers

I am currently a postdoctoral researcher in the New York lab of Microsoft Research. Prior to that, I obtained my PhD in Computer Science from UC Berkeley, working with Peter Bartlett and Martin Wainwright.

I am broadly interested in Machine Learning, Statistics and Optimization. My research focus is on problems which arise while applying machine learning techniques to massive datasets. Part of my research aims to understand the tradeoffs between learning and computation, as well as designing efficient learning algorithms that can learn under a given computational budget. On the algorithmic side, I am also quite interested in the design of distributed machine learning algorithms. Some of my other work considers computational and statistical aspects of estimation in high-dimensional problems. More recently, I have been looking at approaches for learning feature representations from data, in a theoretically principled and practically efficient manner. In a past life, I worked on Machine Learning applied to Web Search and Ranking.