I am a fourth year Computer Science PhD student doing systems and machine learning research at Stanford University, advised by Peter Bailis. I am broadly interested in scaling out statistical methods to large datasets while preserving reliability guarantees. My recent projects include algorithms for nonparametric outlier classification and percentile estimation.
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 Infrastructure and Ads Targeting. My Industry Resume.