I am an assistant professor in the Ming Hsieh Department of Electrical and Computer Engineering and Computer Science at the University of Southern California where I hold an Andrew and Erna Viterbi Early Career Chair. I am also a member of two 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 global optima. A particular focus on the application side has been on computational imaging and artificial intelligence.