Kun Chen, PhD

Assistant Professor, Statistics (Affiliate)

Research Overview

My research has been focusing on large-scale integrative statistical analysis, i.e., integrating data from different sources and utilizing various data attributes and structures, such as sparsity, clustered data, contaminated data, dynamic association, etc., in order to enable tailored dimension reduction, reliable predictive modeling and efficient computation simultaneously.

I have been a Research Fellow at the Center for Public Health and Health Policy (CPHHP) at the UConn Health Center, working closely with Robert Aseltine on data-driven suicide prevention studies. Integrative statistical modeling by utilizing insurance claims data, EHR data, pharmacy data and mortality records shows great promise in identifying suicide phenotype and predicting risk of suicide. As another example, in my ongoing work on studying lung disease using imaging data, we have found some important associations between lung function and lung airway tree structure.

I look forward to collaborating with Researchers at CPHHP and InCHIP on public health applications.


Ph.D. in Statistics, 2011. Department of Statistics and Actuarial Science, University of Iowa, Iowa City, Iowa, USA

M.S. in Statistics, 2007. Department of Mathematics and Statistics, University of Alaska Fairbanks, Fairbanks, Alaska, USA

B.Econ. in Finance and Dual B.S. in Computer Science and Technology, 2003. Department of Statistics and Finance, University of Science and Technology of China, Hefei, Anhui, China

Recent Publications

Contact Information
Mailing AddressDepartment of Statistics
215 Glenbrook Rd
Storrs, CT 06269
Office LocationAustin Building, 314