I am an assistant professor in the department of Electrical Engineering and Computer Science at MIT. I am also a faculty PI in the Laboratory for Information & Decisions Systems. My research focuses on the methodological foundations of various topics in machine learning and statistics.  Here is a list of some information about me [CV, Google Scholar, Contact].  

Short Bio: I obtained my B.A. from Harvard with a concentration in applied mathematics and a minor in philosophy, and my Ph.D.  from UC Berkeley in statistics.  Before joining MIT, I held a postdoctoral position in the machine learning and statistics group at Microsoft Research.  

Recent News

4/1/2021 - I will be an instructor for the New Horizons in Theoretical Computer Science and I am co-organizing the 2021 Rising Stars Workshop hosted by MIT EECS. If eligible for either program, apply!

9/2020 - I am co-organizing a NeurIPS workshop on Consequential Decisions in Dynamic Environments and a             Simons workshop on Geometric Methods in Optimization and Sampling.

8/2020-11/2020-  I will be visiting the Interdisciplinary Center for Scientific Computing at Heidelberg University.