Research Areas
| Name | Research Interests |
|---|---|
| Jonathan Bradley | Bayesian Analysis; Spatial Statistics; Spatio-Temporal Statistics; Multivariate Analysis; Environmental Applications; Official Statistics; Disease Mapping |
| Sounak Chakraborty | Bayesian Statistics, Machine Learning, High-dimensional Variable Selection, Bioinformatics, Spatio-Temporal Modeling. |
| 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. |