Nan Li

Data Scientist

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

Latest Publications

Mapping the world population one building at a time

Tobias Tiecke, Xianming Liu, Amy Zhang, Andreas Gros, Nan Li, Gregory Yetman, Talip Kilic, Siobhan Murray

December 15, 2017