I am an associate professor in the Department of Statistics and the Machine Learning Department at Carnegie Mellon University. In the fall of 2011, I was lucky enough to join Carnegie Mellon University as a faculty member. I obtained my Ph.D. in Statistics from Stanford University in 2011, under the supervision of Jonathan Taylor. Prior to that, I obtained my B.S. in Mathematics and minor in Computer Science from Stanford University in 2007.
My research interests lie broadly in statistics, machine learning, and optimization. More specifically, I am interested in high-dimensional statistics, post-selection inference, nonparametric estimation, convex optimization, and convex geometry. I like to think about problems from different angles: applied, theoretical, and computational. I am also interested in developing methods for epidemiological forecasting, particularly flu forecasting.