I am a data scientist on the Core Data Science team at Facebook. My research interests lie in the general topics of data mining and machine learning. I enjoy building statistical machine learning models to solve interesting data problems in the realm of predictive modeling, social computing, user behavioral modeling, personalization, relevance ranking and economic modeling. When I was a Ph.D. student, I designed probabilistic models and combinatorial algorithms for graph problems, ranging from graph indexing and querying, to graph anomaly detection. I received my Ph.D. in Computer Science from University of California, Santa Barbara, and hold an M.S. in Computer Science from Peking University and a B.S. in Computer Science from Wuhan University in China. Prior to joining Facebook, I worked as a data scientist in the Applied Machine Learning group at Apple, as well as a data scientist on the Data Products and Research team at oDesk (now UpWork).


Machine learning, data mining, natural language processing, graph mining