Nan Lin  is an Associate Professor in the Department of Mathematics 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 statistical computing for massive data, Bayesian regularization, bioinformatics, longitudinal and functional data analysis and psychometrics. His applied research involves statistical analysis of data from anesthesiology, genomics and cognition. 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.

Education

Ph.D. (2003), Department of Statistics, University of Illinois at Urbana-Champaign
M. S. (2003), Department of Finance, University of Illinois at Urbana-Champaign
M. S. (2000), Department of Statistics, University of Illinois at Urbana-Champaign
B. S. (1999), the Special Class for Gifted Young, University of Science and Technology of China

Research Interests

  • Statistical computing in massive data
  • Bioinformatics
  • Bayesian quantile regression
  • Longitudinal data and functional data analysis
  • Statistical applications in anesthesiology

Honor

  • Special Recognition for Outstanding Mentors, College of Arts and Sciences, Washington University in St. Louis, 2007