Brian completed his Ph.D. in Biostatistics in 2005 under the direction of Jim Hodges of the University of Minnesota. After graduation, he joined NC State first as a post-doc with Montse Fuentes and then as a member of the statistics faculty in 2008. His research interests include spatial statistics, extreme value analysis, quantile regression, variable selection, and dimension reduction. In addition to these methodological interests, Brian applies these methods to environmental areas such as ecology, air pollution, and climate change, as well as data from the physical and materials sciences. For work in these areas he was awarded the 2013 Young Researcher Award from the ASA’s Section on Statistics and the Environment and the 2014 NCSU Faculty Scholar Award.

Roles

• Fellows

Publications

• Spatial prediction of crystalline defects observed in molecular dynamic simulations of plastic damage (2017)
• Spatial prediction of crystalline defects observed in molecular dynamic simulations of plastic damage (2017)
• Statistical and image analysis for characterizing simulated atomic-scale damage in crystals (2017)
• spatiotemporal modeling of node temperatures in supercomputers (2017)
• Integrating multiple data sources in species distribution modeling: a framework for data fusion (2017)
• Climate change impacts on projections of excess mortality at 2030 using spatially varying ozone-temperature risk surfaces (2017)
• A Spatial-temporal double-hurdle model for extremely over-dispersed avian count data (2016)
• Data mining to investigate the meteorological drivers for extreme ground level ozone events (2016)
• Bayesian nonparametric estimation for dynamic treatment regimes with sequential transition times comment (2016)
• A fused lasso approach to nonstationary spatial covariance estimation (2016)

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