In the fall of 2011, he joined Carnegie Mellon University as a faculty member. He obtained his Ph.D. in Statistics from Stanford University in 2011, under the supervision of Jonathan Taylor. Prior to that, he obtained a B.S. in Mathematics and minor in Computer Science from Stanford University in 2007. His research interests lie broadly in statistics, machine learning, and optimization. More specifically, he is interested in high-dimensional statistics, post-selection inference, nonparametric estimation, convex optimization, and convex geometry. He is also interested in developing methods for epidemiological forecasting, particularly flu forecasting.