I am currently an Assistant Professor in the Department of Statistics & Data Science at Carnegie Mellon University. Before joining Carnegie Mellon, I spent a wonderful year as a Stein's Fellow / Lecturer at Stanford Statistics Department. I obtained my Ph.D. in Statistics from University of California, Berkeley in 2018 under the supervision of Martin Wainwright and Aditya Guntuboyina. Prior to that, I got my B.S. in Statistics and minor in Economics from Peking University in 2013.
My research interests lie broadly in the span of statistics, optimization and machine learning. More specifically, I have been developing methods appropriate for valid inference with high dimensional and structured data. I am also interested in understanding the interplay between statistical accuracy and computational properties. Recently, I got excited about exploring genetics data.