Regular Members Regular Members of the GIDP in Statistics are those University faculty and staff involved in teaching core Statistics courses, directing M.S. and Ph.D. students in the GIDP, and/or others who have agreed to be significantly active in the Program.

Contact Information  Research Area(s)  Department 

Lingling An Associate Professor anling@email.arizona.edu 
Statistical genetics/genomics; Bioinformatics; Data mining and pattern recognition.  Department of Agricultural and Biosystems Engineering  
Associate Professor 
Production Economics, Econometrics, Agricultural Policy  AgriculuralResource Economics  
Jacobus J. (Kobus) Barnard Professor kobus@email.arizona.edu 
Machine learning; Mathematical modeling of geometric form; Multimodal data; Statistical applications in computer vision.  School of Mind, Brain and Behavior  
Katherine Y. Barnes Professor kathie.barnes@law.arizona.edu 
Bayesian statistics; Causation and selection models; Empirical methods in law; Discrimination; Expert witnesses  College of Law  
Ed Bedrick

Analysis of observational data; Bayesian methods; Generalized linear and mixed models  College of Public Health  
Melanie L. Bell Professor melaniebell@email.arizona.edu 
Missing data; Longitudinal analysis; Clinical trials; Cluster randomized trials; Patient reported outcomes.  College of Public Health  
Rabindra N. (Rabi) Bhattacharya 
Markov processes; Large sample theory; Statistical shape analysis; Economic theory of growth under uncertainty.  Department of Mathematics  
D. Dean Billheimer Professor dean.billheimer@arizona.edu 
Measurement and normalization, Quantitative proteomics, Statistical methods for compositional data.  College of Public Health  
Zhao Chen Professor zchen@email.arizona.edu 
Research study design; Longitudinal data analysis; Risk assessment.  College of Public Health  
Peter Chesson 
Mathematical ecology; Ecological statistics; Stochastic processes; Biodiversity.  Ecology and Evolutionary Biology  
Melinda F. (Mende) Davis Research Assistant Professor mfd@email.arizona.edu 
Latent variable modeling; Measurement of change; Item response theory; Health outcomes research; Statistical consulting.  Psychology  
Neng Fan 
Methodologies in Optimization; Applied Operations Research; Data Mining and Machine Learning  Department of Systems and Industrial Engineering  
Ryan Gutenkunst Assistant Professor rgutenk@email.arizona.edu 
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  Molecular and Cellular Biology  
Ning Hao Assistant Professor nhao@math.arizona.edu 
High dimensional data; Machine learning; Change point detection.  Department of Mathematics  
James T. (Jake) Harwood Professor jharwood@email.arizona.edu 
Applied statistics in the social sciences; Hypothesis testing; Moderator and mediator effects.  Department of Communications  
ChiuHsieh (Paul) Hsu Professor pchhsu@email.arizona.edu 
Survival analysis; Missing data; Statistical modeling.  College of Public Health  
Chengcheng Hu Associate Professor hucc@email.arizona.edu 
Highdimensional data; Survival analysis; Longitudinal data; Missing data; Measurement error.  College of Public Health  
Bonnie Hurwitz Assistant Professor bhurwitz@email.arizona.edu 
Systems Biology; Functional Metagenomics; Big Data; Bioinformatics; Computational Biology  Department of Agricultural and Biosystems Engineering  
Nicole B. Kersting Associate Professor nickik@email.arizona.edu 
Measurement and educational assessment; Item response and generalizability theory; Valueadded models; Random effects models.  College of Education  
Haiquan Li Assistant Professor haiquan@email.arizona.edu 
Biomedical big data science, Translational bioinformatics, bioinformatics, clinical informatics.  Department of Medicine  
Kevin Lin Associate Professor klin@math.arizona.edu 
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. 
Department of Mathematics  
Yves Lussier Professor yves@email.arizona.edu 
Computationally personalizing the understanding and treatments of diseases; computational systems biology; computational systems medicine; computational precision medicine; statistical bioinformatics

Department of Medicine  
Clayton Morrison 
Machine Learning, Causal Inference, Activity Recognition and Understanding, Automated Planning, Knowledge Representation, Computational Cognitive Science  School of Information: Science, Technology, and Arts  
Yue (Selena) Niu Assistant Professor yueniu@math.arizona.edu 
Nonparametric statistics; Semiparametric modeling; Statistical genetics.  Department of Mathematics  
Walter W. Piegorsch Professor of Mathematics piegorsch@math.arizona.edu 
Data analytics; Genomics; Environmental statistics; Risk assessment; History of statistics. 
Department of Mathematics  
Denise J. Roe Professor droe@email.arizona.edu 
Biostatistics. Clinical trials; Epidemiological studies; Pharmacokinetics.  College of Public Health  
Sunder Sethuraman Professor of Mathematics sethuram@math.arizona.edu 
Probability; Stochastic interacting systems; Modeling in statistical physics; Random graphs; Random walks.  Department of Mathematics  
Alla Sikorskii Professor, College of Nursing asikorskii@email.arizona.edu 
Biostatistics; Study design; Measurement tools in patientreported outcomes; Multistage intervention sequences.  College of Nursing  
Robert J. Steidl Professor of Natural Resources steidl@ag.arizona.edu 
Quantitative ecology; Dynamics of animal populations; Conservation biology.  School of Natural Resources and Environment  
Bruce Walsh 
Biostatistics; Statistical genetics/genomics; Mixed models; Bayesian analysis; Resampling and MCMC methods.  Department of Ecology and Evolutionary Biology  
Joseph C. Watkins Professor of Mathematics jwatkins@math.arizona.edu 
Limit theorems; Statistical applications in the life sciences.  Department of Mathematics  
Junming Yin Assistant Professor junmingy@email.arizona.edu 
Statistical machine learning; probabilistic inference; nonparametric and highdimensional statistics; 
Management Information Sciences  
Hao (Helen) Zhang Professor hzhang@math.arizona.edu 
Nonparametric smoothing; Model selection; Data Mining; Statistical applications in biosciences and biomedicine.  Department of Mathematics  
Jin Zhou Assistant Professor jzhou@email.arizona.edu 
Statistical genetics/genomics; Highdimensional data analysis; Mixed models; Genetic epidemiology.  College of Public Health  
Qiang Zhou 
Industrial data analytics, System informatics and applied statistics, design analysis of computer experiments, system fault management and prognostics, statistical quality control 
Department of Systems and Industrial Engineering 
Afilliate 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; Loglinear models; Logmultiplicative models for contingency tables.
 Emily A. Butler, Ph.D. Assistant Professor of Family and Consumer Sciences. Multivariate timeseries analysis; Multilevel modeling; Dyadic models; Socialrelations 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
 Noel A. Card, Ph.D. Associate Professor of Family Studies & Human Development. Latent variable modeling; Structural equation modeling; Metaanalysis; Dyadic data analysis.
 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.
 Michael N. Evans, Ph.D. Adjunct Associate Professor of Dendrochronology. Paleoclimatology; Spatiotemporal data analysis; Forward and inverse modeling.
 Gautam Gowrisankaran, Ph.D. Professor of Economics. Structural econometric modeling; Applied Bayesian econometrics; Estimation of dynamic models.
 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. Maier, Ph.D. Professor of Mathematics; Professor of Physics. Applied probability; Mathematical statistics; Limit laws and large deviation theory; Bioinformatics.
 Joanna MontiMasel, 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.
 Chris Segrin, Ph.D. Professor of Communication; Professor of Psychology; Professor of Family Studies; Head, Department of Communication. Metaanalysis; 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.
 Anton H. Westveld, Ph.D. Statistician, Statistics Consulting Laboratory. Bayesian methodology and theory; Network and relational data; Behavioral game theory; Statistical applications in the social, environmental, and biological sciences.
 Tiemen Woutersen, Ph.D. Associate Professor of Economics. Econometrics; Causal inference; Duration models; Inferences for partially identified parameters.