Jiadong Fang
PhD Student
Jun (Bruce) Jin
PhD Student
Yan Li
PhD Student
Zhongmao Liu
PhD Student
Yeming Pan
PhD Student
Zhe Sun
PhD Student
Biju Wang
PhD student
Research Interests: integrative statistical learning, and variable selection.
Wanwan Xu
PhD Student
Xiaokang Liu, PhD, 2020
Postdoctoral Fellow, Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania
Dr. Xiaokang Liu got her Ph.D. in Statistics at the University of Connecticut in 2020 under the direction of Dr. Kun Chen, where her thesis topic was "Integrative Multivariate Learning via Composite Low-Rank Decompositions".
Wenjie Wang, PhD, 2019
Research Scientist, Artificial Intelligence and Machine Learning Group, Eli Lilly
Dr. Wenjie Wang got his Ph.D. in Statistics at the University of Connecticut in 2019 under the direction of Dr. Kun Chen and Dr. Jun Yan, where his thesis topic was "Integrative Survival Analysis with Application to Suicide Risk".
Chongliang (Jason) Luo, PhD, 2017
Postdoctoral Fellow, Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania
https://chongliang-luo.github.io/
Dr. Chongliang Luo's research focuses on statistical methodology for data integration, distributed statistical learning, meta-analysis, dimension reduction, and variable selection. Chongliang also has a broad interest in collaborative data analyses including opioid use and mental health outcomes, pharmacovigilance, and neurological study. He got his Ph.D. in Statistics at the University of Connecticut in 2017 under the direction of Dr. Kun Chen and Dr. Dipak Dey, where his thesis topic was "On Integrative Reduced-Rank Models and Applications"
Aditya Mishra, PhD, 2017
Flatiron Research Fellow, Numerical Analysis, CCM, Flatiron Institute
https://www.simonsfoundation.org/people/aditya-mishra/
Dr. Aditya Mishra joined the Simons Foundation in 2017 as Flatiron Research Fellow. He is developing statistical methods and software with applications to microbial data. Aditya obtained his Ph.D. in Statistics from the University of Connecticut in 2017 under the direction of Dr. Kun Chen and Dr. Dipak Dey, where his thesis topic was "On Sequential Estimation of Multivariate Associations".
Gregory Vaughan, PhD, 2017
Assistant Professor, Mathematical Sciences, Bentley University
https://faculty.bentley.edu/details.asp?uname=gvaughan
Dr. Vaughan develops methods for tackling high-dimension supervised learning problems where the number of variables makes traditional techniques intractable. He got his Ph.D. in Statistics at the University of Connecticut in 2017 under the direction of Dr. Jun Yan and Dr. Kun Chen, where his thesis topic was "Stagewise Estimating Equations"
Chun Yu, PhD, 2014
Assistant Professor, Jiangxi University of Finance and Economics, China
Dr. Chun Yu obtained his Ph.D. in Statistics from Kansas State University in 2014 under the direction of Dr. Kun Chen and Dr. Weixin Yao, where his thesis topic was "Robust Mixture Modeling".
Xiuqin Bai, PhD, 2013
Assistant Professor, Mathematics, Eastern Washington University
Research Interests: Mixture Model, Robust Regression, and Statistical Consulting for Data Analysis
Dr. Xiuqin Bai obtained her Ph.D. in Statistics from Kansas State University in 2013 under the direction of Dr. Kun Chen and Dr. Weixin Yao, where her thesis topic was "Robust Mixture Regression Models".