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.
Predictive Toxicology Branch
Stadtman Investigator;
Leader, Spatiotemporal Exposures and Toxicology
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
Stadtman Investigator;
Leader, Spatiotemporal Exposures and Toxicology
Paul M. Kruse, Ph.D.
Fellow - IRTA
Kate L. Goodrich, Ph.D.
Fellow - IRTA
Austin T. Rau, Ph.D.
Fellow - IRTA
Zachary T. Stanfield, Ph.D.
Contractor
Recent Publications
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Lewis J, MacNell N, Buller I, Larson G, Fargo D, Schmitt C, Kirschner L, Reif D, Akhtari F, Justice C, House J, Messier K, Hall J, Motsinger-Reif A. Revisiting the modifiable areal unit problem in the era of exposome-wide association studies: Assessing the performance of the CDC/ATSDR social vulnerability index at privacy-protecting spatial scales.
Environmental research.
2026 May 30;305(Pt 1):124912.
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AbstractLewis J, MacNell N, Buller I, Larson G, Fargo D, Schmitt C, Kirschner L, Reif D, Akhtari F, Justice C, House J, Messier K, Hall J, Motsinger-Reif A. Revisiting the modifiable areal unit problem in the era of exposome-wide association studies: Assessing the performance of the CDC/ATSDR social vulnerability index at privacy-protecting spatial scales. Environmental research. 2026 May 30
]
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Marquès E, Messier K. Improved High Resolution Heat Exposure Assessment With Personal Weather Stations and Spatiotemporal Bayesian Models.
GeoHealth.
2025 Sep;9(9):e2025GH001451.
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AbstractMarquès E, Messier K. Improved High Resolution Heat Exposure Assessment With Personal Weather Stations and Spatiotemporal Bayesian Models. GeoHealth. 2025 Sep
]
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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.
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AbstractMessier 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
]
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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):.
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AbstractZilber 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
]
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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].
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AbstractMessier 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
