Year	Name	Thesis Title	Thesis Advisor(s)	Position within 6 months of degree (TT = tenure track)
2023	Qingyang Liu	Advancements in parametric modal regression	Xianzheng Huang	Postdoc, Department of Statistics, Texas A&M University, TX
2023	Yang He	Bayesian dependence structure analysis for ordinal data	Xiaoyan Lin	Quantitative Analytics Specialist, Wells Fargo, CA
2022	Zhen Yang	Statistical methods for analyzing dependence structures with applications in single-cell experiments	Yen-Yi Ho	Data Scientist, Walmart Labs, CA
2022	Wenda Zhang	Statistical methods for analyzing multi-omics data: Dependence structure and missing values	Yen-Yi Ho	Data Scientist, Walmart Labs, CA
2022	Shan Zhong	Deep learning, clustering, and decision process approaches for modeling time series data	David Hitchcock	Machine Learning Engineer, Neolix, Shanghai, China
2022	Ryan Pittman	Using concurrent functional regression to reconstruct river stage data during flood events and identify influential functional measurements	David Hitchcock and John Grego	Data Scientist/Biostatistician, Dorn Research Institute, SC
2021	Michael Stutz	Regression methods for group testing data	Joshua Tebbs	Instructor, Department of Statistics, University of South Carolina, SC
2021	Lili Tong	Statistical analysis of a joint stochastic model for recurrent competing risk, longitudinal marker, and health status	Edsel Peña	Postdoc, Department of Biostatistics, University of Nebraska Medical Center, NE
2021	Tahmidul Islam	Bayesian nonparametric model for functional data analysis	John Grego	Statistician II, Center for Outcomes Research & Evaluation, Yale University, CT
2021	Zichen Ma	Bayesian methods in analyzing association of random variables	Yen-Yi Ho and Joshua Tebbs	Postdoc, School of Mathematical and Statistical Sciences, Clemson University, SC
2020	Bridget Manning	Categorical and fuzzy ensemble-based algorithms for cluster analysis	David Hitchcock	Assistant Vice President, Quantitative Finance Analyst, Bank of America, NC
2020	Yizheng Wei	Estimation and inference under model uncertainty	Yanyuan Ma	Independent Investor
2020	Xiangyang Cao	High-dimensional inference based on the leave-one-covariate-out regularization path	Karl Gregory and Dewei Wang	Data Scientist, Facebook, WA
2020	Tuan Do	Studies of group fused lasso and probit model for right-censored data	Karl Gregory and Lianming Wang	Data Scientist, Google, CA
2020	Lu Wang	Semiparametric regression analysis of survival data and panel count data	Lianming Wang	TT Assistant Professor, Department of Mathematics, Western New England University, MA
2020	Ennan Gu	Flexible regression models for survival data	Lianming Wang	Statistician, Novartis Pharmaceuticals, MA
2020	Chunling Wang	Bayesian analysis of binary diagnostic tests and panel count data	Xiaoyan Lin	Quantitative Associate, Wells Fargo, CA
2019	Taeho Kim	Investigations on multiple interval estimators	Edsel Peña	Postdoc, University of Haifa, Israel
2019	Xichen Mou	Estimation problems for pooled data	Joshua Tebbs and Dewei Wang	TT Assistant Professor, Division of Epidemiology, Biostatistics, and Environmental Health, University of Memphis, TN
2019	Juexin Lin	Regression for pooled testing data with biomedical applications	Dewei Wang	Senior Data Scientist, Walmart Labs, CA
2019	Yawei Liang	Cluster analysis of mixed-mode data	David Hitchcock	Quantitative Associate, Wells Fargo, CA
2019	Haigang Liu	Spatio-temporal analysis of precipitation and flood data from South Carolina	David Hitchcock	Data Scientist, Wayfair, MA
2019	Yifan Zhang	Multivariate probit models for interval-censored failure time data	Lianming Wang	Principal Biostatistician, Novartis Pharmaceuticals, NJ
2019	Qiang Zheng	Statistical analysis of interval-censored data subject to additional complications	Lianming Wang	Data Scientist, Microsoft, WA
2018	Seung Chul Baek	Dimension reduction for classification with many covariates and pathway activity level estimation	Yanyuan Ma	TT Assistant Professor, Department of Mathematics and Statistics, University of Maryland Baltimore County, MD
2018	Chong Ma	Classification of high-dimensional data based on multiple testing methods	David Hitchcock, Yen-Yi Ho, and Paramita Chakraborty	Postdoc, Yale University, CT
2018	Jianhong Wang	Bayesian semiparametric methods for analyzing panel count data	Xiaoyan Lin	Statistical Programming Analyst, Blue Cross/Blue Shield, SC
2018	Qianqian Wang	Transformation model with mixed populations and single index model with measurement error	Yanyuan Ma	Research Scientist, Eli Lilly, IN
2018	Shiwen Shen	Discovery of community structures in static and dynamic networks	Edsel Peña	Data Scientist, New York Life, NY
2018	Xiang Li	Semiparametric regression in the presence of measurement error	Xianzheng Huang	Quantitative Associate, JP Morgan Chase & CO, NY
2018	Xinchu Zhao	A rotatable asymmetric variable compensation MIRT model	Brian Habing	Statistical Modeller, Imbellus, CA
2017	Chuan-Fa Tang	Nonparametric inference for orderings and associations between two random variables	Joshua Tebbs and Dewei Wang	Postdoc, University of Washington, WA
2017	Sheng-Yang Wang	Bayesian flexible modeling of interval-censored failure time data	Lianming Wang	Senior Quantitative Analyst, Fifth Third Bancorp, NC
2017	Peijie Hou	Topics in group testing with multiple infections	Joshua Tebbs and Dewei Wang	Statistician, Takeda, MA
2017	Songqiao Huang	Sparse and regular functional data smoothing and its applications	David Hitchcock	Sr. Biostatistician, Boehringer Ingelheim, NY
2017	Jianxuan Liu	Semiparametric estimation and inference in causal inference and measurement error models	Yanyuan Ma	TT Assistant Professor, Department of Mathematics and Statistics, Bowling Green University, OH
2017	Beidi Qiang	Improved simultaneous estimation of location and system reliability via shrinkage ideas	Edsel Peña	TT Assistant Professor, Department of Mathematics and Statistics, Southern Illinois University at Edwardsville, IL
2016	Bereket Kindo	Bayesian ensemble of regression trees for multinomial probit and quantile regression	Edsel Peña	Lead Data Scientist, Humana, KY
2016	Junshu Bao	Development and application of Bayesian semiparametric models for dependent data	Timothy Hanson	TT Assistant Professor, Department of Mathematics and Computer Science, Duquesne University, PA
2016	William Cipolli	Bayesian nonparametric approaches to multiple testing, density estimation, and supervised learning	Timothy Hanson	TT Assistant Professor, Department of Mathematics, Colgate University, NY
2016	Shamim Sarker	Modern estimation problems in group testing	Joshua Tebbs	TT Assistant Professor, Department of Mathematics and Statistics, Radford University, VA
2016	Han Lee	Some issues in Markov chain Monte Carlo estimation for item response theory	Brian Habing	Predictive Modeler, State Auto Insurance, OH
2016	Piaomu Liu	Semiparametric joint dynamic modeling of a longitudinal marker, recurrent competing risks, and a terminal event	Edsel Peña	TT Assistant Professor, Department of Mathematical Sciences, Bentley University, MA
2016	Haifeng Wu	Regression analysis of clustered interval-censored failure time data	Lianming Wang	Data Scientist, Central Pacific Bank, HI
2016	Bin Yao	Semiparametric regression analysis of panel count data and interval-censored failure time data	Lianming Wang	Post Doc, Vaccine and Infectious Disease, Fred Hutchinson Cancer Center, WA
2016	Zizhen Wu	Registration and clustering of functional observations	David Hitchcock	Senior Quantitative Risk Analyst, Santander Bank, MA
2015	Haiming Zhou	Bayesian semi- and non-parametric analysis for spatially correlated survival data	Timothy Hanson	TT Assistant Professor, Department of Statistics and Actuarial Science, Northern Illinois University, IL
2015	Naichen Wang	Regression analysis of bivariate interval-censored data	Lianming Wang	Senior Quantitative Analyst, Santander Bank, MA
2015	Yin Fu	Dimensionality assessment and estimation for the variable compensation model	Brian Habing	Quantitative Associate, Wells Fargo, NC
2015	Shun Yu	Model diagnostics for generalized linear mixed models for binary responses	Xianzheng Huang	Quantitative Associate, Wells Fargo, NC
2014	Wen Cheng	Bayesian analysis of continuous curve functions	Ian Dryden and Xianzheng Huang	Quantitative Associate, Wells Fargo, NC
2014	JeanMarie Hendrickson	Methods for clustering mixed data	David Hitchcock	Teaching Assistant Professor, West Virginia University, WV
2014	Li Li	Applications of Bayesian nonparametrics to reliability and survival data	Timothy Hanson	TT Assistant Professor, Department of Mathematics and Statistics, University of New Mexico, NM
2014	A. K. M. Fazlur Rahman	Non- and semi-parametric Bayesian inference with recurrent events and coherent systems data	Edsel Peña	Postdoc, Department of Biostatistics and Bioinformatics, Emory University, GA