Bingkai Wang

Bingkai Wang is an Assistant Professor in the Department of Biostatistics at the University of Michigan School of Public Health. His research focuses on causal inference, clinical trials, and statistical methods for complex data.

• PhD in Biostatistics from Johns Hopkins University (2021)
• BS in Mathematics from Fudan University (2016)

His work spans causal inference, machine learning, and test-negative designs in infectious disease research, with methodological contributions to semiparametric efficiency theory and cluster-randomized trials. Recent articles highlight advancements in model-robust inference, stepped-wedge trial designs, and handling incomplete outcomes in clinical trials. He has received multiple awards, including the 2024 IMS New Researcher Travel Award and the Margaret Merrell Award. Contact: bingkai@umich.edu