Team

Jiadong

Jiadong Fang

PhD Student

 

Bruce

Jun (Bruce) Jin

Zhongmao

Zhongmao Liu

PhD Student

Yeming

Yeming Pan

PhD Student

YanLi

Yan Li, PhD, 2021

Postdoctoral Fellow, Department of Biostatistics, University of Michigan

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".

Zhe

Zhe Sun, PhD, 2021

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".

BijuWang

Biju Wang, PhD, 2021

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".

WanwanXu

Wanwan Xu, PhD, 2021

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".

XiaokangLiu

Xiaokang Liu, PhD, 2020

Postdoctoral Fellow, Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania

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".

WenjieWang

Wenjie Wang, PhD, 2019

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

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".

ChongliangLuo

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

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".

Greg

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

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

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".