Paul Adams
Department of Geography & the Environment
Research: Geography of communication technologies; representation of space and place

S. Natasha Beretvas
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

J. Eric Bickel
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

Patrick L. Brockett
Department of IROM
Research: Information systems, risk management, statistical analysis

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

Lawrence Cormack
Department of Psychology
Research: Contrast processing in stereoscopic vision

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

Mike Daniels
SSC & Section of Integrative Biology
Research: Incomplete longitudinal data with special attention to estimation of the dependence structures and methods for causal inference with applications to mediation

Inderjit Dhillon
Department of Computer Science
Research: Data mining, machine learning, numerical linear algebra, scientific computing, numerical optimization, bioinformatics

Dragan Djurdjanovic
Mechanical Engineering Department
Research: Maintenance decision-making in flexible and reconfigurable systems, applications of advanced signal processing in biomedical engineering

Betsy S. Greenberg
Department of IROM
Research: Statistical analysis

John J. Hasenbein
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).

Stephen Jessee
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

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

David Kendrick
Department of Economics
Research: Control theory, stochastic modeling, computational economics, macroeconomics, and microeconomics

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

John E. Luecke
Department of Mathematics
Research: Topology and knot theory

Robert Luskin
Department of Government
Research: Political behavior, methodology, public opinion, voting behavior, and statistical methods

Lauren A. Meyers
SSC & Section of Integrative Biology
Research: Mathematical epidemiology and theoretical evolutionary biology

Douglas J. Morrice
Department of IROM
Research: Management science and supply chain management

David P. Morton
Department of Mechanical Engineering
Research: Stochastic and large-scale optimization

Peter Mueller
SSC & Department of Mathematics
Research: Nonparametric Bayes, optimal design and decision problems, clinical trial design

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

Jonathan Pillow
Department of Psychology
Research: Statistical models of neural data, point processes, regression, latent variable models, neural encoding and decoding
Topics willing to supervise: point process regression, sparse Bayesian inference, unsupervised learning, active learning/optimal design, time series analysis, dimensionality reduction methods, Gaussian process factor analysis, latent variable model, neural decoding

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

William Press
Department of Computer Science & Section of Integrative Biology
Research: Computational biology, genomics, and computational statistical methods

Pradeep Ravikumar
SSC & Department of Computer Science
Research: Statistical machine learning

Brian Roberts
Department of Government
Research: American political institutions, interest groups, and positive political economy

Maytal Saar-Tsechansky
Department of IROM
Research: Data mining

Thomas W. Sager
Department of IROM
Research: Statistical analysis

Sahotra Sarkar
Section of Integrative Biology & Department of Philosophy
Research: Computational and mathematical biology, especially ecology and conservation biology

James Scott
SSC & 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

Thomas S. Shively
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

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

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

Claus O. Wilke
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