I received my Ph.D. in biostatistics from Harvard University in 2015, advised by Jun S. Liu and Tianxi Cai. Before joining Carnegie Mellon University in 2017, I was a postdoctoral researcher in the Department of Operations Research and Financial Engineering at Princeton University, working with Han Liu. I have a B.S. degree in applied mathematics from Sofia University.
I have diverse interests in statistics and machine learning. My current research focuses on problems of high dimensional nonparametric estimation, variable selection, inference, and graph property testing. In addition to my theoretical interests, I am also interested in statistical applications in medical settings such as electronic medical records (EMRs) and personalized medicine.