Brian J Reich
· ProfessorNorth Carolina State University · Plant and Microbial Biology
Active 1978–2026
Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.
About
Brian J Reich is the Gertrude M. Cox Distinguished Professor in the Department of Statistics at NC State University. He earned his Ph.D. in Biostatistics from the University of Minnesota in 2005. His areas of expertise include Environmental Statistics, Bayesian Statistics, and Hierarchical Models. Dr. Reich has been recognized with awards such as the Dr. D. D. Mason Faculty Award for 2016-2017 and the Dr. Cavell Brownie Mentoring Faculty Award for 2021-2023. He is actively involved in research and teaching within the department, contributing to the fields of applied probability, data science, and statistical methodology.
Research topics
- Artificial Intelligence
- Computer Science
- Data Mining
- Geography
- Agronomy
- Mathematics
- Environmental science
- Ecology
- Remote sensing
- Geology
Selected publications
A Review of Spatial Causal Inference\nMethods for Environmental and\nEpidemiological Applications
International Statistical Review · 2021 · 87 citations
1st authorCorrespondingThe scientific rigor and computational methods of causal inference have had great impacts on many disciplines but have only recently begun to take hold in spatial applications. Spatial causal inference poses analytic challenges due to complex correlation structures and interference between the treatment at one location and the outcomes at others. In this paper, we review the current literature on spatial causal inference and identify areas of future work. We first discuss methods that exploit sp…
Palaeogeography Palaeoclimatology Palaeoecology · 2023 · 74 citations
Journal of Exposure Science & Environmental Epidemiology · 2020 · 68 citations
Pest Management Science · 2021 · 17 citations
BACKGROUND: Helicoverpa zea (Boddie) damage to Bt cotton and maize has increased as a result of widespread Bt resistance across the USA Cotton Belt. Our objective was to link Bt crop production patterns to cotton damage through a series of spatial and temporal surveys of commercial fields to understand how Bt crop production relates to greater than expected H. zea damage to Bt cotton. To do this, we assembled longitudinal cotton damage data that spanned the Bt adoption period, collected cotton d…
Environmental Science & Technology · 2025-08-07 · 3 citations
articleOpen access= 271) from four U.S. states collected tap water samples for analysis of 25 PFAS. Participants received results report comparing their water to PFAS health guidelines and recommending water filters when guidelines were exceeded. Follow-up surveys asked respondents what actions they took in response. To identify potential PFAS sources, we computed distances from households to PFAS sources recorded in EPA's PFAS Analytic Tools and other public databases and used spatial regression models to analyz…
Recent grants
Projecting Flood Frequency Curves Under a Changing Climate Using Spatial Extreme Value Analysis
NSF · $300k · 2022–2025
Exploring tooth survival using Bayesian spatial models
NIH · $322k · 2014–2018
Spatial Causal Inference for Wildland Fire Smoke Effects on Air Pollution and Health
NIH · $859k · 2020–2026
Frequent coauthors
- 55 shared
Montserrat Fuentes
- 32 shared
Howard D. Bondell
University of Melbourne
- 32 shared
Ana G. Rappold
Environmental Protection Agency
- 27 shared
Benjamin A. Shaby
Colorado State University
- 24 shared
Yawen Guan
Lanzhou University
- 21 shared
Jane A. Hoppin
North Carolina State University
- 21 shared
Krishna Pacifici
North Carolina State University
- 21 shared
Ana‐Maria Staicu
North Carolina State University
Labs
Reich LabPI
Awards & honors
- 2016-2017, Dr. D. D. Mason Faculty Award
- 2021-2023, Dr. Cavell Brownie Mentoring Faculty Award
Similar researchers at North Carolina State University
- Resume-aware match score
- Save to shortlist
- AI-drafted outreach
See your match with Brian J Reich
PhdFit ranks faculty by your research interests, methods, and publications — grounded in their actual work, not templates.
- Free to start
- No credit card
- 30-second signup
