I am an assistant professor in the Ming Hsieh Department of Electrical Engineering
at the University of Southern California
where I hold an Andrew and Erna Early Career Chair. I also hold a courtesy appointment in the CS department and am a member of two newly founded centers at USC: one on Machine Learning
and another for Cyber-Physical Systems and the Internet of Things
. Prior to joining USC I spent a year as a postdoc in the AMPLAB
at UC Berkeley mentored by Ben Recht
and Martin Wainwright
. I obtained my Ph.D. in Electrical Engineering from Stanford in 2014 advised by Emmanuel Candes
My research focuses on design and mathematical understanding of computationally efficient algorithms for optimization, machine learning, signal processing, high dimensional statistics, computational imaging and artificial intelligence.
Lately, I've been developing and analyzing algorithms for non-convex optimization with provable guarantees of convergence to the global optimum. A particular focus on the application side has been on computational imaging and artificial intelligence.