Michael L. Stein

Michael L. Stein is a Distinguished Professor at Rutgers, The State University of New Jersey, and holds the Ralph and Mary Otis Isham Professorship at the University of Chicago’s Department of Statistics. He specializes in spatial and spatio-temporal statistics, with a focus on environmental applications, climate modeling, and extreme value analysis. His work addresses nonstationary processes in large environmental datasets and integrates computational methods for complex dependencies.

Education: Ph.D. in Statistics from Stanford University.

Research interests include spatial-temporal statistical modeling, climate change impacts, statistical climatology, and computational tools for large datasets. He emphasizes methodological advancements in combining climate model outputs with observational data to simulate future environmental conditions and accurately estimate temperature extremes.

Key contributions include nonstationary spatial-temporal models and leveraging numerical linear algebra for efficient computation. His awards reflect recognition for interdisciplinary impact and statistical innovation.

Professional roles include editorial positions at the Journal of the American Statistical Association and Annals of Applied Statistics. His work bridges theoretical statistics with real-world environmental challenges.