He received his PhD from the University of British Columbia in 2010 and was then a Visiting Assistant Professor of Mathematics at Duke University until 2013, when he joined UCSD. His work is in applied and computational harmonic analysis, and mathematical signal processing (broadly defined). His research interests include sparse approximation, compressed sensing, and quantization.