Graduate Assistant, Department of Statistics, University of Connecticut
Yeming Pan is a graduate student in the Department of Statistics at UConn, advised by Dr. Kun Chen. His research interests include machine learning, statistical modeling and healthcare analytics. His work is mainly focused on the statistical modeling of recurrent events data and repairable systems, which can be applied to analyzing the electronic health record data sets.
BS, Statistics, Northwest University
Google Scholar Profile: https://scholar.google.com/citations?view_op=list_works&hl=en&user=w9fm8fcAAAAJ
