Skip to content
Wei Zheng

Wei Zheng

Professor, Haslam Family Faculty Fellow

Location Room - 235, Stokely Management Center

Department:

Business Analytics & Statistics

View Faculty Publications

Biography

Wei Zheng is a Haslam Family Faculty Fellow and professor in the Department of Business Analytics and Statistics at the University of Tennessee, Knoxville, Haslam College of Business. He served as an assistant professor at Indiana University-Purdue University Indianapolis before joining Haslam.

Zheng researches optimal experiment design, focusing on how to conduct experiments in the most cost-effective way while maximizing the information gained from collected data. He recently expanded his research to explore the intersection of design and computing in two ways: developing fast algorithms to generate optimal or efficient experimental designs and applying design principles to enhance computational performance in statistics and machine learning, with Shapley value approximation serving as a key example.

Zheng’s research has been published in top journals such as Annals of Statistics and Journal of the American Statistical Association. He is currently the associate editor of Statistica Sinica, Journals of Statistical Planning and Inference and Metrika.

Expertise:

Applied Statistics, Big Data Analytics, Computational Statistics, Design and Analysis of Experiments, Machine Learning

Education:

2011 University of Illinois, PhD, Statistics

2005 Zhejiang University, B.S., Statistics

Awards/Honors
  • National Science Foundation, DMS–1612978: From approximate to exact designs with applications to big data. 2016–2019.
  • Purdue Research Foundation (PRF) International Travel Grant, 2013, 2014, 2015.
  • Overseas Conference Fund Award from OVPIA, 2013, 2015.
  • Dean's Scholar Award (University Fellowship), UIC, 2009 - 2010.