I am a PhD student in the Theory Group of the EECS Department at UC Berkeley, advised by Jelani Nelson. My research lies broadly in algorithm design. I am particularly interested in questions arising from high-dimensional statistics, machine learning, and processing massive data.
I was a graduate student in the Theory of Computation group at Harvard, before moving to Berkeley with my advisor. Prior to that, I received my B.S. in Computer Science and in Mathematics from Duke University, where I had the fortune of working with Rong Ge and Debmalya Panigrahi.