Nan Lin

Nan Lin is Professor in the Department of Statistics and Data Science at Washington University in St. Louis and has a joint appointment in the Division of Biostatistics, Washington University in St. Louis, School of Medicine. His methodological research is in the areas of big data, quantile regression, bioinformatics, Bayesian statistics, longitudinal and functional data analysis. His applied research involves statistical analysis of data from anesthesiology and genomics. He teaches a wide range of statistics courses, including mathematical statistics, Bayesian statistics, linear models, experimental design, statistical computation, and nonparametric statistics.

He earned a B.S. (1999) from University of Science and Technology of China, a M.S. (2000) and Ph.D. (2003) in Statistics, and a second M.S. (2003) in Finance from University of Illinois at Urbana-Champaign. Before joining Washington University, he was a postdoctoral associate (2003-2004) at the Center for Statistical Genomics and Proteomics, Yale University.