“With four parameters I can fit an elephant, and with five I can make him wiggle his trunk.” --- John von Neumann

“Pure logical thinking cannot yield us any knowledge of the empirical world; all knowledge of reality starts from experience and end in it.” Albert Einstein

Contact

    Guang Cheng
    Professor of Statistics
    Office: HAAS 232
    Department of Statistics
    Purdue University

    Email: chengg@stat.purdue.edu

Education


  • University of Wisconsin-Madison
    Ph.D. in Statistics, September, 2003 – July, 2006
  • Tsinghua University
    School of Economics and Management
    B.A. in Economics, September, 1998 – July, 2002

Research Interests

  • Big Data
  • Machine Learning
  • Semi-Nonparametric Inferences
  • High Dimensional Statistical Inferences
  • Modern Bayesian and Bootstrap Methods
  • Personalized Medicine

Awards

Editorial Work

Teaching