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Weijing Tang is a Postdoctoral Research Fellow in Biostatistics at Harvard University, where he works under Tianxi Cai. He received his Ph.D. in Statistics from the University of Michigan in 2022, having been advised by Ji Zhu. Prior to that, he earned a B.S. in Mathematics from Tsinghua University in 2016. His research is broadly interested in developing statistical methodology and theory for network analysis, machine learning, and survival analysis, with applications in health and social sciences. Weijing's work is largely motivated by the challenges arising from analyzing massive and complex datasets, focusing on interdisciplinary research.
Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.