I am a third year Computer Science PhD student studying data systems at Stanford University, advised by Peter Bailis. I am broadly interested in developing efficient and usable statistical tools for large data streams, bridging the gap between machine learning and user-facing analytics. My recent projects involve fast unsupervised classification and quantile estimation algorithms as part of the Macrobase data exploration system.

Prior to Stanford, I studied Computer Science and Mathematics at Harvard, working with Greg Morrisett on type systems for safe programming, and spent two years at Facebook in Data Infra and Ads Targeting. My Industry Resume.