Bio

Brian uses geospatial analytics to explore patterns in data from the environmental, physical and materials sciences. He develops approaches using spatial statistics, extreme value analysis, quantile regression, variable selection and dimension reduction. His interests include both methodological questions in statistics and applications of statistical methods to problems such as air pollution and climate change.

Publications

• A Bayesian shrinkage estimator for transfer learning , Journal of Multivariate Analysis (2026)
• A New Mixture Model for Spatiotemporal Exceedances with Flexible Tail Dependence , Methodology And Computing In Applied Probability (2026)
• A non-stationary spatial model of PM$$_{2.5}$$ with localized transfer learning from numerical model output , Environmental and Ecological Statistics (2026)
• DANCE: Doubly Adaptive Neighborhood Conformal Estimation , arXiv (Cornell University) (2026)
• Demonstrating the Power and Flexibility of Variational Assumptions for Amortized Neural Posterior Estimation in Environmental Applications , Environmetrics (2026)
• Detecting Deforestation Using Robust Online Bayesian Monitoring , Data Science in Science (2026)
• Flood Frequency Analysis with Peaks-Over-Threshold: Opportunities and Constraints , (2026)
• Functional principal component analysis forsparse censored data , Biometrika (2026)
• Multivariate and Online Transfer Learning With Uncertainty Quantification , Statistics in Medicine (2026)
• Spatial Causal Tensor Completion for Multiple Exposures and Outcomes: An Application to the Health Effects of PFAS Pollution , arXiv (Cornell University) (2026)