Kun Chen
Secretary
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.
