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

• Demonstrating the Power and Flexibility of Variational Assumptions for Amortized Neural Posterior Estimation in Environmental Applications , Environmetrics (2026)
• A Complete Density Correction using Normalizing Flows (CDC-NF) for CMIP6 GCMs , Scientific Data (2025)
• A two-stage approach for segmenting spatial point patterns applied to multiplex imaging , Biostatistics (2025)
• Bayesian inference informed by parameter subset selection for a minimal PBPK brain model , Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences (2025)
• Bivariate DeepKriging for Large-Scale Spatial Interpolation of Wind Fields , Technometrics (2025)
• Distributed model building and recursive integration for big spatial data modeling , Biometrics (2025)
• Host Environment, Genetics, and Behaviors That Contribute to Nontuberculous Mycobacterial Pulmonary Disease in Hawai'i , American Journal of Respiratory and Critical Care Medicine (2025)
• Matching estimators of causal effects in clustered observational studies , Journal of Causal Inference (2025)
• PFAS in Rural U.S. Well Water: Using Participatory Science to Identify and Communicate Results to Address Risks , Environmental Science & Technology (2025)
• Spatiotemporal Analysis of Land Surface Plant Phenology , Journal of Agricultural Biological and Environmental Statistics (2025)