Education

• Ph.D.: Statistics, University of Chicago, 1991

Specialties

• Statistical learning and data mining
• Statistical applications in engineering and health science.
• Nonparametric and semiparametric modeling

Professional Background

Professional

• Chair-Elect, the American Statistical Association’s Section on Statistical Learning and Data Mining 2012 -
• Program Co-Chair, Institute of Mathematical Statistics 2009 -
• Editorial board: Journal of Machine Learning Research, Journal of American Statistical Association, Annals of Statistics, Electric Journal of Statistics, Journal of Computational and Graphical Statistics, Statistics Survery. 2007 - present
• Panel, the National Science Foundation 2001 - present

Teaching Subjects

• Statistical Learning and Data mining

Honors and Awards

• Scholar of the College, College of Liberal Arts, University of Minnesota, 2012
• Fellow, American Association for the Advancement of Science, 2011
• American Statistical Association fellow, 2006
• Elected Member, International Statistical Institute, 2006
• Institute of Mathematical Statistics fellow, 2004
• The Best Paper Award, the International Biometric Society, 2012
• John Black Johnston Distinguished Professorship, 2012

Selected Publications

• Rates of convergence of posterior distributions: L. Wasserman, Shen, Xiaotong, The Annals of Statistics, 2001.
• On psi-learning: G., Tseng, Zhang, X., Wong, W.,, Shen, Xiaotong, Journal of the American Statistical Association, 2003.
• Optimal model assessment, selection and combination. Huang, H. , Shen, Xiaotong, 2006.
• Grouping pursuit through a regularization surface: Huang, H.S., American Statistical Association, Shen, Xiaotong, Journal of the American Statistical Association}, 105, 727–739, 2010.