I am a third year Computer Science PhD student doing data systems research at Stanford University, advised by Peter Bailis. I am broadly interested in developing efficient and usable statistical methods for large datasets, bridging the gap between machine learning and user-facing analytics. My recent projects include algorithms for unsupervised classification and method-of-moments quantile estimators motivated by the Macrobase data analytics 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.