Xuming He

Xuming He is the inaugural Chair of the Department of Statistics & Data Science at Washington University in St. Louis, holding the Kotzubei-Beckmann Distinguished Professorship. Previously, he served as the H.C. Carver Collegiate Professor at the University of Michigan and held roles at the National University of Singapore and the National Science Foundation. His research focuses on robust statistics, quantile regression, Bayesian inference, and interdisciplinary applications in bioinformatics, public health, and atmospheric science.

• Education: BS in Applied Mathematics (Fudan University, 1984); MS and PhD in Mathematics/Statistics (University of Illinois, 1988-1989).

He is a Fellow of the American Statistical Association and the American Association for the Advancement of Science, and currently serves as President of the International Statistical Institute (2023-2025). His work bridges theoretical advancements in statistical methodology with practical applications in clinical trials, environmental science, and sports medicine. Notable contributions include developing scalable quantile regression techniques and promoting reproducible statistical practices through initiatives like the ASA Task Force on Statistical Significance.

• Awards: Kotzubei-Beckmann Professorship, ISI Presidency, ASA/AAAS Fellowships.

His advising and grants focus on advancing statistical methods for complex data structures, with collaborations in concussion research and interdisciplinary data science. He leads the SDS department’s mission to integrate cutting-edge statistical theory with real-world problem-solving.