Chong Gu

Chong Gu is a Professor of Statistics at Purdue University within the College of Science. His research focuses on Asymptotics, Computational Statistics, Image Analysis, Model Selection, Nonparametric Regression, Spatial Statistics, and Survival Analysis.

• Education:
  • B.En. in Computer Science (1982) from Shanghai Jiaotong University
  • M.S. in Statistics (1984) from Academia Sinica
  • Ph.D. in Statistics (1989) from University of Wisconsin
  • B.S. in Mathematics (2004) from University of Science and Technology of China

His research spans smoothing spline ANOVA models, nonparametric regression, and hazard estimation, with a strong emphasis on computational efficiency and theoretical rigor. Articles from 2012-2022 highlight trends in high-dimensional density estimation, soft classification, and penalized likelihood methods across statistics and machine learning.

Previous Ph.D. advisees include Pang Du, Nels Grevstad, Chun Han, Young-Ju Kim, Ping Ma, Chunfu Qiu (joint with Professor James O. Berger), and Jingyuan Wang.