Prior to that, he worked in the statistics department of Wharton School at University of Pennsylvania for two years. He got Ph.D of mathematics at Stanford University in 2013, and BS at Peking University in 2008. He works on theory and methods in in the intersection of statistics, applied math and machine learning, with current research interests including dimension reduction, randomized algorithms, network data, convex and nonconvex optimization, etc. He has published a series of papers regarding low-rank recovery, matrix completion, phase retrieval and community detection in various journals of statistics, mathematics and engineering such as JACM, IEEE TIT, AoS, ACHA, FOCM, etc.