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Updates

Ph.D. Executive Committee Ph.D. Graduate Studies Committee 

Executive Committee

Catherine CalderCalder, Catherine
SDS Chair
Research: Development of statistical models for phenomena that exhibit complex dependencies. Dimension reduction for spatio-temporal data, covariate-driven nonstationary spatial models, data-augmentation algorithms for spatial generalized linear (mixed) models, latent space & matrix factorization models for two-mode networks, & model-based comparisons of networks.

Carlos CarvalhoCarvalho, Carlos
SDS & Department of IROM
Research: Bayesian statistics in complex, high-dimensional problems with applications ranging from finance to genomics.

Paul DamienDamien, Paul
Department of IROM
Research: Bayesian methods, knowledge management, option pricing, risk management.

Tony LineroLinero, Antonio
SDS 
Research: Bayesian methods for complex longitudinal data, model selection, variable selection tools within the Bayesian nonparametric framework for high dimensional problems, Bayesian nonparametrics for missing data and causal inference problems.

Lauren MeyersMeyers, Lauren A.
SDS & Section of Integrative Biology
Research: Mathematical epidemiology and theoretical evolutionary biology.

Peter MuellerMueller, Peter
SDS & Department of Mathematics
Research: Nonparametric Bayes, optimal design and decision problems, clinical trial design.

Jared MurrayMurray, Jared
Department of IROM
Research: Flexible Bayesian models for heterogenous and structured data, with applications to record linkage, causal inference, multiple imputation for missing data, and latent variable modeling.

Rathouz PaulRathouz, Paul
Director, Biomedical Data Science Hub; Department of Population Health
Research: Estimating functions, errors in regression covariates, missing data in highly-stratified studies, applied health econometrics and behavior genetics (especially twin studies).

Tom SagerSager, Thomas W.
Department of IROM
Research: Statistical analysis.

abhra 0051 1Sarkar, Abhra
SDS
Research: Developing sophisticated Bayesian non and semiparametric methods.

Purna SarkarSarkar, Purnamrita
SDS
Research:
Large scale statistical machine learning problems with a focus on statistical models, asymptotic theory and scalable inference algorithms for large networks.

James ScottScott, James
SDS & Department of IROM
Research: Bayesian model selection and multiple testing; connections between machine learning, compressed sensing, and Bayesian shrinkage estimation; variable selection and high-dimensional inference in non-linear, non-Gaussian models; and structured models for covariance matrices.
shivelyShively, Thomas S.
Department of IROM
Research: Time series regression models, nonparametric regression models, model selection, hierarchical Bayes models, marketing research and the statistical analysis of air pollution data.
Stephen WalkerWalker, Stephen
SDS & Department of Mathematics
Research: Bayesian parametric and nonparametric methods with applications in medical statistics.

Sinead WilliamsonWilliamson, Sinead
SDS & Department of IROM
Research: Nonparametric Bayesian methods for machine learning, dependent nonparametric processes, nonparametric latent variable methods.

Ming ZhouZhou, Mingyuan
Department of IROM
Research: Bayesian statistics, machine learning; developing statistical theory and methods, hierarchical models, and efficient Bayesian inference for big data; nonparametric Bayesian modeling.
Cory ZiglerZigler, Cory
SDS & DMS
Research: Bayesian methods, causal inference, comparative effectiveness research, spatial statistics, and environmental health data science.

 

 

 


 

Graduate Studies Committee

 

BeretvasBeretvas, Natasha S.
Department of Educational Psychology
Research: Application and evaluation of psychometric and statistical models, HLM, and meta-analytic techniques.
Topics willing to supervise: multilevel (hierarchical) models, structural equation models, meta-analytic modeling techniques, psychometric models

Bickel 2Bickel, Eric J.  
Graduate Program in Operations Research
Research: Decision theory and its applications in the areas of energy, climate, economics, finance, and sports.
Topics willing to supervise: Entropy, strictly proper scoring rules, forecast verification, modeling of dependence, applications of decision theory

CormackCormack, Lawrence
Department of Psychology
Research: Contrast processing in stereoscopic vision.

GreenbergGreenberg, Betsy S.
Department of IROM
Research: Statistical analysis.

hasenbein johnHasenbein, John J.
Department of Mechanical Engineering
Research: Stochastic modeling, especially of complex manufacturing, computer, and telecommunication network systems.
Topics willing to supervise: Queueing models and Markov decision processes (stochastic dynamic programming).

jessee1Jessee, Stephen
Department of Government
Research: American politics and statistical methodology, specifically political behavior using Bayesian statistics, ideal point estimation, and hierarchical models.
Topics willing to supervise: Voting, public opinion, political behavior, ideology, judicial politics, legislative politics

KeittKeitt, Timothy H.
Section of Integrative Biology
Research: Importance of pattern and scale in landscapes in modifying ecological and evolutionary processes.

LinLin, Tse-Min
Department of Government
Research: Methodology, formal theory, & American and comparative political behavior.

morrice dMorrice, Douglas J.
Department of IROM
Research: Management science and supply chain management.

Musick Marc 200607303Musick, Marc
Department of Sociology
Research: Medical sociology—social factors and health; religion and health; sociology of aging and the life course; and social psychology.

PowersPowers, Daniel A.
Department of Sociology
Research: Substantive and methodological issues related to non-marital fertility and infant mortality.

roberts brianRoberts, Brian
Department of Government
Research: American political institutions, interest groups, and positive political economy.

saar TsechSaar-Tsechansky, Maytal
Department of IROM
Research: Data mining.

StolpeStolp, Chandler W.
LBJ School of Public Affairs
Research: Social policy evaluation, western hemispheric economic integration, and the application of innovative statistical methods in "messy" data environments.

vonhippelVon Hippel, Paul
LBJ School of Public Affairs
Research: Statistics, demographic analysis, education policy, healthcare.

wilkeWilke, Claus O.
Section of Integrative Biology
Research: Computational biology—using bioinformatical and statistical methods to analyze biological data sets, in particular whole-genome and high-throughput data sets.