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Bio: I am currently at Stanford University as a Motwani Postdoctoral Fellow. Right before, I was a research fellow in UC Berkeley’s Simons Institute in the Program on Computational Complexity of Statistical Inference. I received my PHD in Mathematics and Statistics from MIT, where I was coadvised by Ankur Moitra and Elchanan Mossel, and before that I received my undergraduate degree in Mathematics at Princeton University. My current research interests include computational learning theory and related topics: probability theory, high-dimensional statistics, optimization, related aspects of statistical physics, etc. In particular, I am very interested in learning and inference in graphical models.