I am an assistant professor in the Ming Hsieh Department of Electrical Engineering
at the University of Southern California
My research focuses on design and mathematical understanding of computationally efficient algorithms for optimization, high dimensional statistics, machine learning, signal processing and computational imaging.
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.
Prior to joining USC I spent a year as a postdoc in the AMPLAB
at UC Berkeley sponsored by Ben Recht
and Martin Wainwright
. I obtained my Ph.D. in Electrical Engineering from Stanford in 2014 advised by Emmanuel Candes