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Slideshow

PhD Alumni and Job Placements

Stacy Cobb photo

Stacy Cobb, who is now a graduate of the PhD program and working as a biostatistician for UNC Healthcare in Morrisville, N.C.

2021

Ilsuk Kang

Statistical and Deep Learning for Data Objects with Non-Euclidean Metrics

Advisor: Cheolwoo Park

Initial Job Placement: PostDoc, Fred Hutchinson Cancer Research Center

Hyunnam Ryu

Topological Data Analysis for Studying Brain Functional Connectivity

Advisor: Nicole Lazar

Initial Job Placement: Associate Research Scientist, Columbia University 

Eunsil Seok

Learning Multimodal Data using Deep Neural Networks in Classification

Advisor: Nicole Lazar

Initial Job Placement: Postdoc, NYU Langone Health

Wanxue Zou

Classification and Regression Tree for Symbolic Data

Advisor: Lynne Billard

Initial Job Placement: Statistician, Regeneron

Kristen Knight

Multi-Modal Data Fusion of Neuroimaging Genetics for the Discovery of Alzheimer's Disease Pathology

Advisor: Liang Liu

Initial Job Placement: Postdoc, Center for Imaging of Neurodegenerative Diseases, School of Medicine, University of California San Francisco

Seung Woo Kwak

Differential privacy and its applications

Advisor: Jeongyoun Ahn

Initial Job Placement: Postdoc, NYU Langone Health

Ye Wang

Novel Statistical methods and applications in Quantum computing, Biomedicine, and Networks for Big Data

Advisor: Ping Ma

Initial Job Placement: Statistician, State Farm (ATL)

Honghe Jin

Copula Theory on the Histogram-valued Data

Advisor: Lynne Billard

Initial Job Placement: Statistician, Wells Fargo

Ziyang Ma

New Regularization Methods for Supervised Learning with High-dimensional Data

Advisor: Jeongyoun Ahn

Initial Job Placement: Statistician, Wells Fargo

Jinyang Chen

Applications of Emerging Technologies to Statistical Learning

Advisor: Cheolwoo Park

Initial Job Placement: Statistican, Dow Chemical

Juhyung Lee

Some Bayesian Contributions to Small Area Estimation

Advisor: Gauri Datta

Initial Job Placement: Lecturer, Department of Statistics, University of Florida

2020

Murilo Masaru Da Silva

Dimension Reduction in Time Series Under the Presence of Conditional Heteroscedasticity

Advisors: T.N. Sriram and Yuan Ke

Initial Job Placement: Data Specialist, Ton (Stone Co.), Brazil

Tawanda Benesi

Improved EM-type Algorithms for fitting marginal zero-inflated regression models to clustered data

Advisor: Daniel B. Hall
Initial Job Placement: Assistant Professor of Instruction, Temple University
   

Cristian Caranica

Stochastic models for genetic networks

Advisor: Johnathan Arnold

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

Hee Cheol Chung

Some contributions to statistical inference on small sample size data: small area estimation and and high-dimension low-sample size data analysis.

Advisor: Gauri Datta

Initial Job Placement: Postdoc, Texas A&M

Cheng Meng

Data Reduction in Non-parametric Statistical Analysis and Optimal Transport Methods

Advisor: Wenxuan Zhong

Initial Job Placement: Assistant Professor, TsingHua University

JC Poythress

Regularization Techniques for Statistical Methods Utilizing Matrix/Tensor Decompositions

Advisor: Jeongyoun Ahn

Initial Job Placement: Assistant Professor, University of New Hampshire

Ben Washington

An Adapted VAR-EM Imputation of Climate Data and Statistical Downscaling of Temperature, Precipitation, and Solar Radiation in Puerto Rico

Advisor: Lynne Seymour

Initial Job Placement: Statistician, EPA

Jingyi Zhang

Data Fusion for Heterogeneous Data and Its Applications

Advisor: Ping Ma

Initial Job Placement: Assistant Professor, Renmin University

2019

Xiaodong Jiang

Selected topics in network data analysis and phylogenetics
Advisors: Pengsheng Ji & Liang Liu
Initial Job Placement: Data Scientist, Facebook

Arunava Samaddar

Statistical learning methods for group analysis in FMRI data
Advisor: Cheolwoo Park
Initial Job Placement: Data Scientist, CoinTribe

Rui Xie

Sampling for streaming data
Advisors: T.N. Sriram & Wenxuan Zhong
Initial Job Placement: Assistant Professor, U. of Central Florida

Jiankun Zhu

Divisive hierarchical clustering for interval-valued data
Advisor: Lynne Billard
Initial Job Placement: Biostatistician, Eli Lilly

Xinlian Zhang

Subsampling and integrating modeling uncertainty in statistical analysis
Advisors: Wenxuan Zhong & Gauri Datta
Initial Job Placement: Assistant Professor, UC San Diego

2018

Yaotong Cai

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

Chul Moon

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

Wenhao Pan

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

Yiwen Liu

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

Xiaoxiao Sun

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

Xin Xing

Statistical methods with applications in epigenomics, metagenomics and neuroimaging
Advisor: Wenxuan Zhong
Initial Job Placement: Postdoc, Harvard U.

Wei Zhang

Optimal designs for the panel mixed logit model
Advisors: John Stufken & Mandal
Initial Job Placement: Data Scientist, Sprint

2017

Mohamad Hasan

Optimal p-value weighting with independent information
Advisor: Paul Schliekelman
Initial Job Placement: Biostatistician, Johnson and Johnson

Adel Bedoui

Bayesian empirical likelihood for linear regression and penalized regression
Advisor: Nicole Lazar
Initial Job Placement: Senior Analyst, Liberty Mutual

Sha Cao

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

Stacy Cobb

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

Alexei Ionan

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

Alex Lyford

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

2016

Hao Tong

Identifying and understanding repetitive patterns in prokaryotic DNA sequences
Advisor: Paul Schliekelman
Initial Job Placement: Data Scientist, Workday

Li-Yu Wang

Regularized aggregation approaches for complex data
Advisor: Cheolwoo Park
Initial Job Placement: Statistician, State Farm

Xianyan Chen

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

Jacob Martin

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

Hejiao Hu

A waiting time approach for a disability model
Advisor: Lynne Billard
Initial Job Placement: Assistant Vice President, CitiBank

Fei Liu

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

Debin Qiu

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

Zhen Yan

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

Yuanwen Wang

Sufficient dimension folding, variable selection, and its inference
Advisor: Yin
Initial Job Placement: Machine Learning Engineer, Apple

Jing Zhao

A probabilistic model for gene family evolution
Advisor: Liang Liu
Initial Job Placement: Biostatistician, Sanford Health

2015

Sangjin Kim

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

Shiyao Wang

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
Advisor: Rathbun
Initial Job Placement: Quantitative Modeler, Citigroup

Yuan Zhuang

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

Adam Jaeger

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

Lina Liao

Developments of regularized approaches in non-standard paradigm
Advisor: Cheolwoo Park
Initial Job Placement: Quantitative Associate, Wells-Fargo

WenHui Sheng

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

Xijue Tan

Optimal designs for generalized linear models
Advisor: John Stufken
Initial Job Placement: Senior Statistician, Capitol One

GuanNan Wang

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

Wenbo Wu

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

2014

Linwei Hu

Optimal design of experiments
Advisor: John Stufken
Initial Job Placement: Quantitative Analytics Consultant, Wells-Fargo

Jin Tang

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

Sandra Addo

TBA
Advisors: Jeongyoun Ahn & Dobbin
Initial Job Placement: Postdoc, Emory

Adrijo Chakraborty

Hierarchical Bayesian methods for survey sampling and other applications
Advisors: Gauri Datta & Abhyuday Mandal
Initial Job Placement: Statistician, NORC U. of Chicago

Yi Chen

Symbolic data regression and clustering methods
Advisor: Lynne Billard
Initial Job Placement: Senior Consultant, Traveler's Insurance

Emmanuel Tuglo

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

Haileab Hilafu

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

Yaser Samadi

Matrix time series analysis
Advisor: Lynne Billard
Initial Job Placement: Assistant Professor, Southern Illinois U.

Nan Zhang

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

2013

JinAe Lee

Functional magnetic resonance imaging data clustering
Advisor: Cheolwoo Park
Initial Job Placement: Biostatistician, Nat'l Medical Ctr

Jung Ae Lee

Sample integrity in high dimensional data
Advisor: Jeongyoun Ahn
Initial Job Placement: Postdoc, Washington U.

Hsin-Ping Wu

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

Andrew Brown

Bayesian multiple testing under dependence with application to functional magnetic resonance imaging
Advisors: Gauri Datta & Nicole Lazar
Initial Job Placement: Assistant Professor, Clemson U.

XinYu Liu

Sample size determination in multi-class classification and prediction based on single-nucleotide polymorphisms
Advisor: T.N. Sriram
Initial Job Placement: Statistical Geneticist, Monsanto

Lin Sun

Bayesian factor analysis for fMRI data
Advisor: Nicole Lazar
Initial Job Placement: Biostatistician, Becton Dickinson

Andrew Bartlett

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

Nat Kulvanich

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

2012

Ashley Askew

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

Kun Xu

TBA
Advisor: Ying Xu
Initial Job Placement: Data Scientist, Baidu

YiJie Xue

Applications of empirical likelihood to nonresponse problem and changepoint detection
Advisor: Nicole Lazar
Initial Job Placement: Statistical Modeler, LexisNexis

Yuan Xue

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

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