Nan Lin is Professor in the Department of Mathematics and Statistics 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.
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
- Big data
- Quantile regression
- Bayesian statistics
- Longitudinal data and functional data analysis
- Statistical applications in anesthesiology and genomics
- Special Recognition for Outstanding Mentors, College of Arts and Sciences, Washington University in St. Louis, 2007
- The most promising paper published in Bayesian Analysis in the last five years, The International Society for Bayesian Analysis, 2016
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