Brian Reich

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 Complete Density Correction using Normalizing Flows (CDC-NF) for CMIP6 GCMs , SCIENTIFIC DATA (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 US Well Water: Using Participatory Science to Identify and Communicate Results to Address Risks , ENVIRONMENTAL SCIENCE & TECHNOLOGY (2025)
• Spatiotemporal Analysis of Land Surface Plant Phenology , (2025)
• Spatiotemporal Dynamics and Drivers of Microbial Contaminants in Hurricane Florence Floodwaters , ACS ES&T WATER (2025)
• Two-stage estimators for spatial confounding with point-referenced data , BIOMETRICS (2025)