Assistant Professor, Department of Medicine, UConn School of Medicine

Postdoctoral Research Associate (2022-2024)

Shane received his PhD in Health Promotion Sciences and BA in Psychology from the University of Connecticut, as well as his MA in Psychology from Central Connecticut State University. Since 2008, Shane has filled positions across most to all aspects of grant-funded social sciences research. He has served as full-time data manager and analyst for variously-focused teams/projects, resulting in a still continuing stream of publications. Since 2016, Shane has developed and focused his work upon applied statistics, in particular, non-linear interaction testing and machine learning. Upon receiving his PhD, he joined Dr. Chen's team as a Postdoctoral Research Associate, aiming to advance the field of suicide prediction by utilizing data fusion and machine learning fundamentals.

PhD Student

PhD Student

PhD Student

PhD Student

PhD Student

https://brucejunjin.github.io

PhD Student

FDA

Dr. Boyang Tang got his Ph.D. in Statistics at the University of Connecticut in 2023 under the direction of Dr. Kun Chen. His thesis topic was "Stagewise Majorization Minimization Algorithms for Regularized Learning with Applications."

Postdoctoral Fellow, Department of Biostatistics, University of Pennsylvania

Dr. Jianmin Chen got her Ph.D. in Statistics at the University of Connecticut in 2023 under the direction of Dr. Kun Chen.  Her thesis topic was "Rare Feature Selection and Logic Aggregation."

FDA

Dr. Zhongmao Liu got her Ph.D. in Statistics at the University of Connecticut in 2023 under the direction of Dr. Kun Chen. Her thesis topic was "Pursuing Sources of Heterogeneity in Microbiome Community Structure."

Assistant Professor, Department of Mathematics and Statistics, Auburn University

https://yanlistat.com

Dr. Yan Li got his Ph.D. in Statistics at the University of Connecticut in 2021 under the direction of Dr. Kun Chen and Dr. Jun Yan, where his thesis topic was "Amalgamation-Based Statistical Learning for Compositional Data." He was a Postdoctoral Fellow under the guidance of Dr. Gen Li at the Department of Biostatistics, University of Michigan, from 2021 to 2023. 

Postdoctoral Fellow, Department of Biostatistics, Yale University

Dr. Zhe Sun got her Ph.D. in Statistics at the University of Connecticut in 2021 under the direction of Dr. Kun Chen, where her thesis topic was "On Statistical Modeling of Longitudinal Compositional Data with Applications in a Preterm Infant Study."

Senior Biostatistician, Johnson & Johnson

Dr. Biju Wang got his Ph.D. in Statistics at the University of Connecticut in 2020 under the direction of Dr. Kun Chen, where his thesis topic was "On Targeted Integrative Learning via Distance Segmented Regression."

Postdoctoral Fellow, Department of Biostatistics, Yale University

Dr. Wanwan Xu got her Ph.D. in Statistics at the University of Connecticut in 2021 under the direction of Dr. Kun Chen, where her thesis topic was "Topics on Statistical Data Fusion with Public Health Applications."

Assistant Professor, Department of Statistics, University of Missouri, 2023-

https://xiaokang-liu.com

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." She was a Postdoctoral Fellow under the guidance of Dr. Yong Chen at the Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, from 2020 to 2023. 

Research Scientist, Artificial Intelligence and Machine Learning Group, Eli Lilly, 2019-

https://wwenjie.org

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."

Assistant Professor, Washington University in St. Louis, 2021-

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." He was a Postdoctoral Fellow at UConn Health Center with Dr. Rob Aseltine and Dr. Kun Chen from 2017 to 2018 and a Postdoctoral Fellow with Dr. Yong Chen at the Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania from 2018 to 2021.

Assistant Professor, Department of Statistics, University of Georgia, 2023-

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." He was Flatiron Research Fellow at Flatiron Institute from 2017 to 2021 and a Computational Scientist at MD Anderson from 2021 to 2023. 

Associate Professor, Mathematical Sciences, Bentley University, 2023-

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."

Associate Professor, Jiangxi University of Finance and Economics, Jiangxi, 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."

Associate Professor (Teaching), Department of Statistics, Kansas State University, 2023-

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." She was on the faculty of the Department of Mathematics at Eastern Washington University from 2013 to 2023.