I will be joining the  MIT  faculty in the department of Electrical Engineering and Computer Science as an assistant professor, and the Laboratory for Information & Decisions Systems  as a faculty PI in 2021. I obtained my B.A. (2011) from Harvard with a concentration in applied mathematics and a minor in philosophy, and my Ph.D. (2018) from UC Berkeley in statistics. Before joining MIT, I held a postdoctoral position in the machine learning and statistics group at Microsoft Research. My Ph.D. advisors were Ben Recht and Mike Jordan.  

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My research focuses on the methodological foundations and theory of various topics in machine learning and statistics. I am interested in  developing frameworks for algorithmic assessment and providing rigorous guarantees for algorithmic performance. Here is a list of some information about me [CV, Google Scholar, Contact].  

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Recent News

9/2020                                 

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8/2020-11/2020                 

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I am co-organizing a NeurIPS workshop on Consequential Decisions in Dynamic Environments and a Simons workshop on Geometric Methods in Optimization and Sampling to be held in 2021.

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I will be visiting the Interdisciplinary Center for Scientific Computing at Heidelberg University.

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