Structure & Leadership

Kun Chen


Dr. Kun Chen is an Associate Professor in the Department of Statistics, University of Connecticut (UConn), and a Research Fellow at the Center for Population Health, UConn Health Center. Chen’s research mainly focuses on multivariate statistical learning, dimension reduction, high-dimensional statistics, and healthcare analytics with large-scale heterogeneous data. He has extensive interdisciplinary research experience in a variety of fields including insurance, ecology, biology, agriculture, medical imaging, and public health. Chen's research projects have received funding from the National Institutes of Health (NIH), the Simons Foundation, and the National Science Foundation (NSF). Recently Chen is funded by NSF for developing integrative multivariate methods and heterogeneous response regression, and he is a co-PI in an NIH-funded data-driven suicide prevention study which leverages integrated big data from disparate sources scattered in healthcare system. Chen was a Co-Editor of the 2015 ICSA Symposium Proceeding Book, and serves as an Associate Editor of Sankhya: The Indian Journal of Statistics since 2016. He has received Recognition for Teaching Excellence at UConn for multiple times.

Chen received his B.Econ. in Finance and Dual B.S. in Computer Science & Technology from the University of Science and Technology of China in 2003, his M.S. in Statistics from the University of Alaska Fairbanks in 2007, and his PhD in Statistics from the University of Iowa in 2011. Before joining UConn, he was on the faculty of Kansas State University from 2011 to 2013.

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