My research is broadly at the interface of information theory, statistics, theoretical computer science, and applied probability. I seek to obtain engineering insight into practically relevant problems by formulating and solving mathematical models. As part of this, I want to understand the relationship between combinatorial structure and computational tractability of high- dimensional inference. I am co-organizing a program at the Simons Institute focusing on this broad research direction: https://simons.berkeley.edu/programs/si2021.
I advise these amazing students: Enric Boix-Adserà, Matthew Brennan, Chenghao Guo (joint with Yury Polyanskiy), Brice Huang, Dheeraj Nagaraj, Austin Stromme (joint with Philippe Rigollet). Alumni of my group include: Rares Buhai (MEng, now pursuing PhD at ETH in David Steurer’s group), Nir Weinberger (postdoc, now on the faculty at Technion EE Dept), and Mina Karzand (PhD, will be joining the faculty at UC Davis Statistics Dept).
I am an Associate Professor in the Department of Electrical Engineering and Computer Science at MIT, and a member of LIDS and Center for Statistics, which are part of IDSS. Previously, I was a postdoc at MIT working with David Gamarnik and Devavrat Shah, and before that I received my PhD from the Department of EECS at UC Berkeley advised by David Tse. I completed my undergraduate degree in ECE at the University of Illinois, Urbana-Champaign.