Spatiotemporal Exposures and Toxicology Group | National Institute of Environmental Health Sciences
Source: https://www.niehs.nih.gov/research/atniehs/labs/ptb/spatiotemporal
Archived: 2026-04-23 17:16
Spatiotemporal Exposures and Toxicology Group | National Institute of Environmental Health Sciences
Skip Navigation
Spatiotemporal Exposures and Toxicology Group
Close the left navigation
Add
Much of the work carried out by DTT is in support of the National Toxicology Program (NTP), an interagency partnership of the Food and Drug Administration, National Institute for Occupational Safety and Health, and NIEHS.
Visit the NTP Website
Predictive Toxicology Branch
Kyle P. Messier, Ph.D.
Stadtman Investigator;
Leader, Spatiotemporal Exposures and Toxicology
Tel 984-287-3215
[email protected]
Research Summary
Spatiotemporal models are a class of statistical models that explicitly account for the spatial and/or temporal correlation in data. They have a rich history in fields such mining, forestry, petroleum engineering , exposure science, and most recently, machine learning and artificial intelligence. Within environmental health sciences, there is an ever-growing need for methodological development and applications of spatiotemporal models that can handle the large, complex data and interdisciplinary challenges. Towards this end, the central theme of the Spatiotemporal Exposures and Toxicology Group (SET) is to develop spatiotemporal methods and applications in environmental and human health exposure science while also exploring innovative applications of geospatial and spatiotemporal methods in toxicology.
Currently, the Spatiotemporal Exposures and Toxicology Group is interested in:
Geospatial exposure, disparity, and risk mapping
Geospatial mapping of mixture exposure through common molecular initiating events
Spatiotemporal mapping connections to toxicology
Toxicokinetic and toxicological-based geospatial risk mapping
The group is led by Kyle P. Messier, Ph.D. Messier is a Stadtman Tenure-Track Investigator in the Division of Translational Toxicology (DTT). He also holds a joint appointment with the National Institute of Minority Health and Health Disparities (NIMHD) in Bethesda, Maryland. Messier received a B.S. in Environmental Studies from the University of North Carolina at Asheville and a M.S. and Ph.D. from the University of North Carolina at Chapel Hill. He also holds a secondary appointment in the
NIEHS Biostatistics and Computational Biology Branch
.
Scientists & Staff
Kyle P. Messier, Ph.D.
Stadtman Investigator;
Leader, Spatiotemporal Exposures and Toxicology
Tel 984-287-3215
[email protected]
Paul M. Kruse
Fellow - IRTA
Tel 984-287-3245
[email protected]
Kate L. Goodrich
Fellow - IRTA
Tel 984-287-3215
[email protected]
Austin T. Rau
Fellow - IRTA
Tel 984-287-3215
[email protected]
Zachary T. Stanfield, Ph.D.
Contractor
Tel 984-287-3215
[email protected]
Recent Publications
Marquès E, Messier K. Improved High Resolution Heat Exposure Assessment With Personal Weather Stations and Spatiotemporal Bayesian Models.
GeoHealth
.
2025 Sep;9(9):e2025GH001451.
[
Abstract
Marquès E, Messier K. Improved High Resolution Heat Exposure Assessment With Personal Weather Stations and Spatiotemporal Bayesian Models. GeoHealth. 2025 Sep
]
Clark L, Zilber D, Schmitt C, Fargo D, Reif D, Motsinger-Reif A, Messier K. A review of geospatial exposure models and approaches for health data integration.
Journal of exposure science & environmental epidemiology
.
2025 Apr;35(2):131-148.
[
Abstract
Clark L, Zilber D, Schmitt C, Fargo D, Reif D, Motsinger-Reif A, Messier K. A review of geospatial exposure models and approaches for health data integration. Journal of exposure science & environmental epidemiology. 2025 Apr
]
Messier K, Reif D, Marvel S. The GeoTox Package: open-source software for connecting spatiotemporal exposure to individual and population-level risk.
Human genomics
.
2025 Jan 18;19(1):5.
[
Abstract
Messier K, Reif D, Marvel S. The GeoTox Package: open-source software for connecting spatiotemporal exposure to individual and population-level risk. Human genomics. 2025 Jan 18
]
Zilber D, Messier K, House J, Parham F, Auerbach S, Wheeler M. Bayesian gene set benchmark dose estimation for "omic" responses.
Bioinformatics (Oxford, England)
.
2024 Dec 26;41(1):.
[
Abstract
Zilber D, Messier K, House J, Parham F, Auerbach S, Wheeler M. Bayesian gene set benchmark dose estimation for "omic" responses. Bioinformatics (Oxford, England). 2024 Dec 26
]
Messier K, Reif D, Marvel S. The GeoTox Package: Open-source software for connecting spatiotemporal exposure to individual and population-level risk.
medRxiv : the preprint server for health sciences
.
2024 Nov 20 [Epub ahead of print].
[
Abstract
Messier K, Reif D, Marvel S. The GeoTox Package: Open-source software for connecting spatiotemporal exposure to individual and population-level risk. medRxiv : the preprint server for health sciences. 2024 Nov 20
]
More Recent Publications from PubMed
Software
SET Group GitHub – Homepage
SET Group GitHub – Software
Back
to Top
Last Reviewed: March 19, 2026
Skip Navigation
Spatiotemporal Exposures and Toxicology Group
Close the left navigation
Add
Much of the work carried out by DTT is in support of the National Toxicology Program (NTP), an interagency partnership of the Food and Drug Administration, National Institute for Occupational Safety and Health, and NIEHS.
Visit the NTP Website
Predictive Toxicology Branch
Kyle P. Messier, Ph.D.
Stadtman Investigator;
Leader, Spatiotemporal Exposures and Toxicology
Tel 984-287-3215
[email protected]
Research Summary
Spatiotemporal models are a class of statistical models that explicitly account for the spatial and/or temporal correlation in data. They have a rich history in fields such mining, forestry, petroleum engineering , exposure science, and most recently, machine learning and artificial intelligence. Within environmental health sciences, there is an ever-growing need for methodological development and applications of spatiotemporal models that can handle the large, complex data and interdisciplinary challenges. Towards this end, the central theme of the Spatiotemporal Exposures and Toxicology Group (SET) is to develop spatiotemporal methods and applications in environmental and human health exposure science while also exploring innovative applications of geospatial and spatiotemporal methods in toxicology.
Currently, the Spatiotemporal Exposures and Toxicology Group is interested in:
Geospatial exposure, disparity, and risk mapping
Geospatial mapping of mixture exposure through common molecular initiating events
Spatiotemporal mapping connections to toxicology
Toxicokinetic and toxicological-based geospatial risk mapping
The group is led by Kyle P. Messier, Ph.D. Messier is a Stadtman Tenure-Track Investigator in the Division of Translational Toxicology (DTT). He also holds a joint appointment with the National Institute of Minority Health and Health Disparities (NIMHD) in Bethesda, Maryland. Messier received a B.S. in Environmental Studies from the University of North Carolina at Asheville and a M.S. and Ph.D. from the University of North Carolina at Chapel Hill. He also holds a secondary appointment in the
NIEHS Biostatistics and Computational Biology Branch
.
Scientists & Staff
Kyle P. Messier, Ph.D.
Stadtman Investigator;
Leader, Spatiotemporal Exposures and Toxicology
Tel 984-287-3215
[email protected]
Paul M. Kruse
Fellow - IRTA
Tel 984-287-3245
[email protected]
Kate L. Goodrich
Fellow - IRTA
Tel 984-287-3215
[email protected]
Austin T. Rau
Fellow - IRTA
Tel 984-287-3215
[email protected]
Zachary T. Stanfield, Ph.D.
Contractor
Tel 984-287-3215
[email protected]
Recent Publications
Marquès E, Messier K. Improved High Resolution Heat Exposure Assessment With Personal Weather Stations and Spatiotemporal Bayesian Models.
GeoHealth
.
2025 Sep;9(9):e2025GH001451.
[
Abstract
Marquès E, Messier K. Improved High Resolution Heat Exposure Assessment With Personal Weather Stations and Spatiotemporal Bayesian Models. GeoHealth. 2025 Sep
]
Clark L, Zilber D, Schmitt C, Fargo D, Reif D, Motsinger-Reif A, Messier K. A review of geospatial exposure models and approaches for health data integration.
Journal of exposure science & environmental epidemiology
.
2025 Apr;35(2):131-148.
[
Abstract
Clark L, Zilber D, Schmitt C, Fargo D, Reif D, Motsinger-Reif A, Messier K. A review of geospatial exposure models and approaches for health data integration. Journal of exposure science & environmental epidemiology. 2025 Apr
]
Messier K, Reif D, Marvel S. The GeoTox Package: open-source software for connecting spatiotemporal exposure to individual and population-level risk.
Human genomics
.
2025 Jan 18;19(1):5.
[
Abstract
Messier K, Reif D, Marvel S. The GeoTox Package: open-source software for connecting spatiotemporal exposure to individual and population-level risk. Human genomics. 2025 Jan 18
]
Zilber D, Messier K, House J, Parham F, Auerbach S, Wheeler M. Bayesian gene set benchmark dose estimation for "omic" responses.
Bioinformatics (Oxford, England)
.
2024 Dec 26;41(1):.
[
Abstract
Zilber D, Messier K, House J, Parham F, Auerbach S, Wheeler M. Bayesian gene set benchmark dose estimation for "omic" responses. Bioinformatics (Oxford, England). 2024 Dec 26
]
Messier K, Reif D, Marvel S. The GeoTox Package: Open-source software for connecting spatiotemporal exposure to individual and population-level risk.
medRxiv : the preprint server for health sciences
.
2024 Nov 20 [Epub ahead of print].
[
Abstract
Messier K, Reif D, Marvel S. The GeoTox Package: Open-source software for connecting spatiotemporal exposure to individual and population-level risk. medRxiv : the preprint server for health sciences. 2024 Nov 20
]
More Recent Publications from PubMed
Software
SET Group GitHub – Homepage
SET Group GitHub – Software
Back
to Top
Last Reviewed: March 19, 2026