Skip to main content
Skip to main menu

Slideshow

PhD Alumni and Job Placements

2020

Tawanda Benesi    

Initial Job Placement: Non-faculty position, Temple

Cristian Caranica  

Initial Job Placement: Postdoc, Jackson Laboratories in Bar Harbor Maine

Hee Cheol Chung  

Initial Job Placement: Postdoc, Texas A&M

Cheng Meng

Initial Job Placement: Assistant Professor, TsingHua University

JC Poythress

Initial Job Placement: Assistant Professor, University of New Hampshire

Ben Washington

Initial Job Placement: Statistician, EPA

Jingyi Zhang

Initial Job Placement: Assistant Professor, Renmin University

2019

Jiang, Xiaodong: Selected topics in network data analysis and phylogenetics
Adviser: Ji and Liu
Initial Job Placement: Data Scientist, Facebook

Ross, Richard: TBA
Adviser: Lazar and Seymour
Initial Job Placement: Assistant Professor, U. of Virginia

Samaddar, Arunava: Statistical learning methods for group analysis in FMRI data
Adviser: Park
Initial Job Placement: Data Scientist, CoinTribe

Xie, Rui: Sampling for streaming data
Adviser: Sriram and Zhong
Initial Job Placement: Assistant Professor, U. of Central Florida

Zhu, Jiankun: Divisive hierarchical clustering for interval-valued data
Adviser: Billard
Initial Job Placement: Biostatistician, Eli Lilly

Zhang, Xinlian: Subsampling and integrating modeling uncertainty in statistical analysis
Adviser: Zhong and Datta
Initial Job Placement: Assistant Professor, UC San Diego

2018

Cai, Yaotong: Symbolic data analysis: statistical inference on interval-valued data regression
Adviser: Billard
Initial Job Placement: Data Scientist, Liberty Mutual

Moon, Chul: Statistical inference and learning for topological data analysis
Adviser: Lazar
Initial Job Placement: Assistant Professor, Southern Methodist U.

Pan, Wenhao: Model-based clustering with application of copulas for symbolic data
Adviser: Billard
Initial Job Placement: Quantitative Associate, Wells Fargo

Liu, Yiwen: Dimension reduction and multisource fusion for big data with applications in bioinformatics
Adviser: Zhong
Initial Job Placement: Visiting Assistant Professor, U. of Arizona

Sun, Xiaoxiao: Nonparametric methods for big and complex datasets under a reproducing kernel Hilbert space framework
Adviser: Ma
Initial Job Placement: Assistant Professor, U. of Arizona

Xing, Xin: Statistical methods with applications in epigenomics, metagenomics and neuroimaging
Adviser: Zhong
Initial Job Placement: Postdoc, Harvard U.

Zhang, Wei: Optimal designs for the panel mixed logit model
Adviser: Stufken and Mandal
Initial Job Placement: Data Scientist, Sprint

2017

Hasan, Mohamad: Optimal p-value weighting with independent information
Adviser: Schliekelman
Initial Job Placement: Biostatistician, Johnson and Johnson

Bedoui, Adel: Bayesian empirical likelihood for linear regression and penalized regression
Adviser: Lazar
Initial Job Placement: Senior Analyst, Liberty Mutual

Cao, Sha: Towards understanding the interplay between cellular stresses and cancer development
Adviser: Xu
Initial Job Placement: Assistant Professor of Biostatistics, Indiana U.

Cobb, Stacy: Optimizing parameters for qtl mapping study designs using next generation sequencing data
Adviser: Schliekelman
Initial Job Placement: Biostatistician, Duke Clinical Research Institute

Ionan, Alexei: Bayesian framework for developing and evaluating medical screening tests for early disease detection with applications in oncology
Adviser: Lazar
Initial Job Placement: Mathematical Statistician, US Food and Drug Administration

Lyford, Alex: Investigating undergraduate student understanding of graphical displays of quantitative data through machine learning algorithms
Adviser: Kaplan
Initial Job Placement: Assistant Professor, Middlebury College

2016

Tong, Hao: Identifying and understanding repetitive patterns in prokaryotic DNA sequences
Adviser: Schliekelman
Initial Job Placement: Data Scientist, Workday

Wang, Li-Yu (Nick): Regularized aggregation approaches for complex data
Adviser: Park
Initial Job Placement: Statistician, State Farm

Chen, Xianyan: Nonlinear constrained optimization in R and its application for sufficient dimension reduction and variable selection
Adviser: Yin
Initial Job Placement: SCC Associate Director, U. of Georgia

Martin, Jacob: Topics in zero-inflated count regression: coefficients of determination and marginal models
Adviser: Hall
Initial Job Placement: Lecturer, U. Vermont

Hu, Hejiao: A waiting time approach for a disability model
Adviser: Billard
Initial Job Placement: Assistant Vice President, CitiBank

Liu, Fei: Cluster analysis for symbolic interval data using linear regression method
Adviser: Billard
Initial Job Placement: Vice President, Bank of America

Qiu, Debin: Grouped variable screening for ultrahigh dimensional data under linear model
Adviser: Ahn
Initial Job Placement: Risk Analyst, JPMorgan Chase

Yan, Zhen: A Birth and Death Model for RNA-Seq Data Analysis
Adviser: Liu
Initial Job Placement: Principal Analyst, Liberty Mutual

Wang, Yuanwen (Chuck): Sufficient dimension folding, variable selection, and its inference
Adviser: Yin
Initial Job Placement: Machine Learning Engineer, Apple

Zhao, Jing: A probabilistic model for gene family evolution
Adviser: Liu
Initial Job Placement: Biostatistician, Sanford Health

2015

Kim, Sangjin: Prioritizing hypothesis tests for high throughput data with multiple testing methods
Adviser: Schliekelman
Initial Job Placement: Statistical Bioinformatician, University of Texas at El Paso

Wang, Shiyao: Estimating equations for fitting linear regression models describing the impact of partially-observed time-varying predictors on patterns of weight change among participants seeking to lose weight using ecological momentary assessment data
Adviser: Rathbun
Initial Job Placement: Quantitative Modeler, Citigroup

Zhuang, Yuan: Time series clustering using copula-based higher order Markov process
Adviser: Lazar
Initial Job Placement: Quantitative Modeler, Wells-Fargo

Jaeger, Adam: Composite empirical likelihood: a derivation of multiple non-parametric likelihoods
Adviser: Lazar
Initial Job Placement: Postdoc, SAMSI/Duke

Liao, Lina: Developments of regularized approaches in non-standard paradigm
Adviser: Park
Initial Job Placement: Quantitative Associate, Wells-Fargo

Sheng, WenHui: Sufficient dimension reduction and variable selection via distance covariance
Adviser: Yin
Initial Job Placement: Assistant Professor, University of West Georgia

Tan, Xijue: Optimal designs for generalized linear models
Adviser: Stufken
Initial Job Placement: Senior Statistician, Capitol One

Wang, GuanNan: High/ultra-high dimensional single-index models
Adviser: Wang and Reeves
Initial Job Placement: Assistant Professor, College of William & Mary

Wu, Wenbo: Stable and pseudo sufficient dimension reduction
Adviser: Yin
Initial Job Placement: Assistant Professor, U. Oregon Bus.Sch

2014

Hu, Linwei: Optimal design of experiments
Adviser: Stufken
Initial Job Placement: Quantitative Analytics Consultant, Wells-Fargo

Tang, Jin: Generalized quasi-likelihood ratio test for semiparametric analysis of covariance models in longitudinal data
Adviser: Li
Initial Job Placement: Statistical Modeling Analyst, Pactera

Addo, Sandra: TBA
Adviser: Ahn and Dobbin
Initial Job Placement: Postdoc, Emory

Chakraborty, Adrijo: Hierarchical Bayesian methods for survey sampling and other applications
Adviser: Datta and Mandal
Initial Job Placement: Statistician, NORC U. of Chicago

Chen, Yi: Symbolic data regression and clustering methods
Adviser: Billard
Initial Job Placement: Senior Consultant, Traveler's Insurance

Tuglo, Emmanuel: Analysis of univariate and multivariate longitudinal data with censored and missing response with complex covariance structure
Adviser: Hall
Initial Job Placement: Senior Statistician, State Farm

Hilafu, Haileab: On dimension reduction and feature selection in high dimensions
Adviser: Yin
Initial Job Placement: Assistant Professor, U. Tennessee

Samadi, Yaser: Matrix time series analysis
Adviser: Billard
Initial Job Placement: Assistant Professor, Southern Illinois U.

Zhang, Nan: Hilbert-Schmidt Independence Criterion in sufficient dimension reduction and feature screening
Adviser: Yin
Initial Job Placement: Decision Analyst, JP Morgan Chase

2013

Lee, JinAe: Functional magnetic resonance imaging data clustering
Adviser: Park
Initial Job Placement: Biostatistician, Nat'l Medical Ctr

Lee, Jung Ae: Sample integrity in high dimensional data
Adviser: Ahn
Initial Job Placement: Postdoc, Washington U.

Wu, Hsin-Ping: Locally optimal designs for generalized linear models with a single-variable quadratic polynomial predictor
Adviser: Stufken
Initial Job Placement: Quantitative Analyst, State Street Corp

Brown, Andrew: Bayesian multiple testing under dependence with application to functional magnetic resonance imaging
Adviser: Datta and Lazar
Initial Job Placement: Assistant Professor, Clemson U.

Liu, XinYu: Sample size determination in multi-class classification and prediction based on single-nucleotide polymorphisms
Adviser: Sriram
Initial Job Placement: Statistical Geneticist, Monsanto

Sun, Lin: Bayesian factor analysis for fMRI data
Adviser: Lazar
Initial Job Placement: Biostatistician, Becton Dickinson

Bartlett, Andrew: Extreme value estimators for various non-negative time series with heavy-tail innovations
Adviser: McCormick
Initial Job Placement: Assistant Professor, Southern Illinois U.

Kulvanich, Nat: Mixture Poisson point process: assessing heterogeneity in EMA analysis
Adviser: Rathbun
Initial Job Placement: Lecturer, Commerce and Accountancy Chulalongkorn University, Thailand

2012

Askew, Ashley: Numerical optimization and Empty Set Problem in application of empirical likelihood methods
Adviser: Lazar
Initial Job Placement: Postdoc, UGA Forestry

Xu, Kun: TBA
Adviser: Ying Xu
Initial Job Placement: Data Scientist, Baidu

Xue, YiJie: Applications of empirical likelihood to nonresponse problem and changepoint detection
Adviser: Lazar
Initial Job Placement: Statistical Modeler, LexisNexis

Xue, Yuan: Sufficient dimension folding theory and methods
Adviser: Yin
Initial Job Placement: Assistant Professor, U. Int'l Bus & Econ, Beijing

Support us

We appreciate your financial support. Your gift is important to us and helps support critical opportunities for students and faculty alike, including lectures, travel support, and any number of educational events that augment the classroom experience. Click here to learn more about giving.

Every dollar given has a direct impact upon our students and faculty.