Weijing Tang

Assistant Professor

Bio

I was a Postdoctoral Research Fellow in Biostatistics at Harvard University, working with Tianxi Cai. In 2022, I received a Ph.D. in Statistics from the University of Michigan, advised by Ji Zhu. In 2016, I received a B.S. in Mathematics from Tsinghua University.

Research

I am broadly interested in developing statistical methodology and theory for network analysis, machine learning, and survival analysis with applications to health and social sciences. My research is largely motivated by challenges arising from analyzing massive and complex datasets for interdisciplinary research.

Publications

Google Scholar

Areas of Research

• Graphical Models & Networks
• Biostatistics & Epidemiology
• Public Policy & Social Sciences
• Optimization & Algorithms
• Statistical Machine Learning
• Nonparametric Methods