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 developing tools for scalable machine learning 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. Resume.