Click on photo for additional information on a faculty member.

### Lingling An

Member of Executive Committee

Associate Professor, Biosystems Engineering

Statistical genomics/metagenomics; Single cell data analysis; Data mining and machine learning

### Satheesh Aradhyula

Associate Professor Agricultural-Resource Economics

Production Economics, Econometrics, Agricultural Policy

### Kobus Barnard

Professor, School of Mind, Brain and Behavior

Machine learning; Mathematical modeling of geometric form; Multi-modal data; Statistical applications in computer vision.

### Edward Bedrick

Member of Executive Committee

Professor, Public Health

Analysis of observational data; Bayesian methods; Generalized linear and mixed models

### Rabindra Bhattacharya

Professor Emeritus, Mathematics

Markov processes; Large sample theory; Statistical shape analysis; Economic theory of growth under uncertainty.

### Dean Billheimer

Professor, Epidemiology and Biostatistics

Measurement and normalization, Quantitative proteomics, Statistical methods for compositional data.

### Zhao Chen

Professor, Epidemiology and Biostatistics

Research study design; Longitudinal data analysis; Risk assessment.

### Jianqiang Cheng

Assistant Professor, Systems and Industrial Engineering

Stochastic Programming, Semi-definite programming, as well as their applications

### Melinda Davis

Research Assistant Professor

Latent variable modeling; Measurement of change; Item response theory; Health outcomes research; Statistical consulting.

### Hongxu Ding

Assistant Professor, Translational Pharmacogenomics

Single-cell analysis, nanopore sequencing. His lab develops computational biology approaches to interpret single-cell omics profiles and nanopore sequencing readouts.

### Neng Fan

Associate Professor, Systems and Industrial Engineering

Methodologies in Optimization; Applied Operations Research; Data Mining and Machine Learning

### Ryan Gutenkunst

Associate Professor, Molecular and Cellular Biology

Computational biology, with focus on inferring history and natural selection from population genomic data and on understanding the function and evolution of complex biomolecular networks

### Ning Hao

Member of Executive Committee

Associate Professor, Mathematics

High dimensional data; Machine learning; Change point detection

### Jake Harwood

Professor of Communications

Applied statistics in the social sciences; Hypothesis testing; Moderator and mediator effects.

### Chiu-Hsieh Paul Hsu

Professor, College of Public Health

Survival analysis; Missing data; Statistical modeling.

### Chengcheng Hu

Professor, College of Public Health

High-dimensional data; Survival analysis; Longitudinal data; Missing data; Measurement error.

### Bonnie Hurwitz

Associate Professor Biosystems Engineering

Systems Biology; Functional Metagenomics; Big Data; Bioinformatics; Computational Biology

### Afrooz Jalilzadeh

Assistant Professor of Systems and Industrial Engineering

Research is focused on the design, analysis, and implementation of stochastic approximation methods for solving convex optimization and stochastic variational inequality problems with applications in machine learning, game theory, and power systems.

### Nicole Kersting

Associate Professor, College of Education

Measurement and educational assessment; Item response and generalizability theory; Value-added models; Random effects models.

### Haiquan Li

Assistant Professor Medicine

Biomedical big data science, Translational bioinformatics, bioinformatics, clinical informatics.

### Jingjing Liang

Assistant Research Professor, R Ken Coit College of Pharmacy

Statistical genetics and genomics, including computational methods for analyzing large-scale sequencing data, rare variant association analysis, genomics-driven drug target discovery and precision medicine

### Kevin Lin

Associate Professor Mathematics

Stochastic nonlinear phenomena in biology and physics, especially problems from computational neuroscience and nonequilibrium statistical physics; Monte Carlo algorithms; numerical methods for stochastic differential equations; scientific computing.

### Lifeng Lin

Associate Professor, Epidemiology and Biostatistics

Dr. Lin has worked extensively on statistical methods for meta-analysis, network meta-analysis of multiple-treatment comparisons, publication bias, and Bayesian methods. He is also interested in the applications of statistical methods to real-world proble

### Jian Liu

Associate Professor, Systems & Industrial Engineering

Dr Liu's research is in the integration of manufacturing engineering knowledge, control theory and advanced statistics for product quality and productivity improvement. His recent research focuses on system prognostic/diagnostic modeling and analysis and

### Yiwen Liu

Assistant professor of Epidemiology and Biostatistics

Dimension reduction and variable selection, big data analytics, data integration

### Clayton Morrison

Professor, School of Information

Machine Learning, Causal Inference, Activity Recognition and Understanding, Automated Planning, Knowledge Representation, Computational Cognitive Science

### Selena Niu

Associate Professor, Mathematics

Nonparametric statistics; Semiparametric modeling; Statistical genetics.

### Jason Pacheco

Assistant Professor, Computer Science

Statistical machine learning, probabilistic graphical models, approximate inference algorithms, and information-theoretic decision making

### Walter Piegorsch

Professor, Mathematics

Data analytics; Genomics; Environmental statistics; Risk assessment; History of statistics.

### Denise Roe

Professor, Public Health

Biostatistics. Clinical trials; Epidemiological studies; Pharmacokinetics.

### Sunder Sethuraman

Professor, Mathematics

Probability and stochastic processes. Bayesian stick-breaking and applications. Models in statistical physics.

### Robert Steidl

Professor of Natural Resources

Quantitative ecology; Dynamics of animal populations; Conservation biology.

### Xiaoxiao Sun

Assistant Professor, Epidemiology and Biostatistics

Medical Imaging, Nonparamatric Modelling, Computational Biology

### Xueying Tang

Assistant Professor, Mathematics

High dimensional Bayesian statistics, latent variable models and their application in Education and Psychology.

### Bruce Walsh

Professor, Ecology and Evolutionary Biology

Biostatistics; Statistical genetics/genomics; Mixed models; Bayesian analysis; Resampling and MCMC methods.

### Joseph Watkins

Vice-Chair Executive Committee

Professor, Mathematics

Limit theorems; Statistical applications in the life sciences.

### Erfan Yazdandost Hamedani

Assistant Professor, Systems and Industrial Engineering

Methodologies in Optimization: Saddle point problems, Distributed Optimization, Bilevel Optimization.Applications: Machine Learning, Data Science, Artificial Intelligence

### Chicheng Zhang

Assistant Professor, Computer Science

Machine Learning, learning theory.

### Hao (Helen) Zhang

Chair, Statistics GIDP

Professor, Mathematics

Nonparametric smoothing; Model selection; Data Mining; Statistical applications in biosciences and biomedicine.

### Qiang Zhou

Associate Professor, Systems and Industrial Engineering

Industrial data analytics, System informatics and applied statistics, design analysis of computer experiments, system fault management and prognostics, statistical quality control

## Affiliate Members

Affiliate Members of the GIDP in Statistics are those with a general interest in statistical issues who wish to be fully informed of the Program’s operation, and who wish to engage in a limited subset of Program activities. Affiliate members often rotate to Regular status at pertinent intervals, and *vice versa*.

**Ronald L. Breiger**, Ph.D. Professor of Sociology. Statistical models for social network analysis; Log-linear models; Log-multiplicative models for contingency tables.**Emily A. Butler**, Ph.D. Assistant Professor of Family and Consumer Sciences. Multivariate time-series analysis; Multilevel modeling; Dyadic models; Social-relations modeling.**Robert Canales**, Ph.D. Assistant Professor of Public Health (Stanford University) Data mining, machine learning, analysis of complex systems; Application of Monte Carlo simulation and stochastic processes in risk analysis and environmental exposure assessment; Sensitivity analysis; Uncertainty and variability quantification**Andrew C. Comrie**, Ph.D. Professor of Geography & Regional Development; Senior Vice President for Academic Affairs and Provost. Statistics of climate data; Data reduction; Spatial modeling.**Gautam Gowrisankaran**, Ph.D. Professor of Economics. Structural econometric modeling; Applied Bayesian econometrics; Estimation of dynamic models.- Hidehiko Ichimura, Professor of Economics. His research focuses on uses of influence function of estimators for a finite dimensional parameter in semiparametric models. In addition, he is working on constructing an econometric framework to link structural life-cycle models to the national transfer accounts via an over-lapping generations model.
**Thomas G. Kennedy**, Ph.D. Professor of Mathematics; Professor of Physics. Monte Carlo simulations; Random walks.**Derek M. Lemoine**, Ph.D. Assistant Professor of Economics. Decision theory; Bayesian methods; Model epistemology; Complex systems; Real options.- Jian Liu, Ph.D. Assistant Professor of Systems and Industrial Engineering. Engineering statistics; Statistical quality and reliability engineering; Applied data mining.
- Robert S. Maie
**r**, Ph.D. Professor of Mathematics; Professor of Physics. Applied probability; Mathematical statistics; Limit laws and large deviation theory; Bioinformatics. - Joanna Monti-Masel, D.Phil. Associate Professor of Ecology & Evolutionary Biology. Stochastic processes; Bayesian learning models; Theoretical population genetics; Stochasticity in gene expression.
**David M. Meko**, Ph.D. Associate Research Professor of Dendrochronology. Spectral analysis; ARMA modeling; Time series filtering; Regression.- James L. Powell, Professor of Economics, Eller College of Management. His current research focus is on limited dependent variables, endogenous regressors and panel data.
**Chris Segrin**, Ph.D. Professor of Communication; Professor of Psychology; Professor of Family Studies; Head, Department of Communication. Meta-analysis; Longitudinal data analysis; Regression analysis; Dyadic data analysis.**Duane L. Sherrill**, Ph.D. Professor of Public Health; Associate Dean of Research, Mel and Enid Zuckerman College of Public Health. Longitudinal analyses; Respiratory disease assessment; Applied data analyses; Biometry.**Yotam Shmargad**, Ph.D. Assistant Professor in the School of Information Resources and Library Science; Impacts of social media on information and market spread in user networks.**Subbian Vignesh**, Ph.D. Assistant Professor Biomedical Engineering; Software Engineering, Biomedical Data Science and Informatics, Ethics and Professional and Social Responsibility- Tiemen Woutersen, Ph.D. Associate Professor of Economics. Econometrics; Causal inference; Duration models; Inferences for partially identified parameters.