Research Areas

Name	Research Interests
Jonathan Bradley	Bayesian Analysis; Spatial Statistics; Spatio-Temporal Statistics; Multivariate Analysis; Environmental Applications; Official Statistics; Disease Mapping
Sounak Chakraborty	Statistical Methodologies: Bayesian Modeling and Inference, Machine Learning and Data Mining, AI and Generative Models, Multi-omics and Multi-platform data integration, Spatio-Temporal Modeling Big Data Analytics and Applications, Biostatistics and Bioinformatics, Computation Intensive Statistics and MCMC methods, Survival Analysis, Financial Data and Time Series Modelling. Application Areas: Chemometrics, Engineering, Genomics, Bioinformatics, Marketing and Sales, Health Records and Health Informatics, Cancer Studies, Autism, Tuberculosis, Type 2 Diabetes, Environmental Epidemiology, Gun Violence, Disparity in Health Care, Microbiome, Soil and Earth Science.
Teri Christiansen	Undergraduate Education, Curriculum Development
Phil Deming	Statistics education, undergraduate education
Nick Grieshop	Undergraduate research, sports statistics, and deep learning
Chong (Zhuoqiong) He	Bayesian Analysis, Small Area Estimation, Survival Analysis, Sampling Survey and Spatio-temporal models
Scott H. Holan	Bayesian methodology, Environmental and ecological statistics, Machine learning, Official statistics, Spatial Statistics, Spatio-temporal models, Survey methodology.
Mitchell Krock	Spatial statistics, extreme value theory, machine learning, optimization, environmental applications
Suhwon Lee	Interdisciplinary Statistics, Nonparametric Inference, Categorical Data Analysis, Public Health Statistics, Statistical Education
Xiaokang Liu	Multi-source data analysis (distributed/federated learning), Transfer learning, Data-adaptive sampling for massive datasets, Multivariate analysis, High-dimensional statistics, Dimension reduction, Variable selection.
Matthew McIntosh	Undergraduate Research, Urn randomization, Sample size selection.
Sakis Micheas	Bayesian methods of estimation and computation, Multivariate analysis, Spatial Temporal Statistics, Point Process Theory and Applications.
(Tony) Jianguo Sun	AIDS and Cancer Research, Biostatistics, Survival Analysis, Longitudinal Data Analysis, Chemometrics.
Christopher K. Wikle	Spatio-temporal models, climatology, meteorology, oceanography, dynamical models, Bayesian hierarchical methods, deep learning, reinforcement learning, sports statistics, wildfire modeling, environmental and ecological statistics.
Wilson Wright	Spatial statistics, Bayesian statistics, ecological and environmental applications
Likun Zhang	Extreme Value Theory, Spatial Extremes, Bayesian Hierarchical Models, Weather Processes and Climatology, Deep Learning.