My research is broadly at the interface of information theory, statistics, theoretical computer science, and 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 co-organized a program at the Simons Institute focusing on this general research direction: https://simons.berkeley.edu/programs/si2021.
I advise these amazing students: Kiril Bangachev, Enric Boix-Adserà (joint with Philippe Rigollet), Chenghao Guo (joint with Yury Polyanskiy), Brice Huang (joint with Nike Sun), Austin Stromme (joint with Philippe Rigollet), and Tanay Wakhare.
Alumni of my group include: Dheeraj Nagaraj (PhD, now at Google Research), Rares Buhai (MEng, now pursuing PhD at ETH), Nir Weinberger (postdoc, now on the faculty at Technion EE Dept), and Mina Karzand (PhD, now on 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.