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Kyle P. Messier, Ph.D. | National Institute of Environmental Health Sciences
Kyle P. Messier, Ph.D. | National Institute of Environmental Health Sciences
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Kyle P. Messier, Ph.D.
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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.
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Spatiotemporal Exposures and Toxicology Group
Kyle P. Messier, Ph.D.
Stadtman Investigator;
Leader, Spatiotemporal Exposures and Toxicology
Tel 984-287-3215
[email protected]
Kyle Messier is a Stadtman Tenure-Track Investigator at the National Institute of Environmental Health Sciences (NIEHS) in the Division of Translational Toxicology (DTT). He leads the Spatiotemporal Exposures and Toxicology group, within the Predictive Toxicology Branch.
The group, has a broad interest in geospatial exposomics and risk mapping. Key areas of research include (1) Spatiotemporal exposure mapping of environmental and climate variables (e.g. chemical mixtures, social, behavioral, environmental, and climate factors); (2) Source-to-outcome modeling, or GeoTox, which is the integration of geospatial exposures, toxicokinetic modeling, and non-animal toxicological data such as high-through in vitro screen assays to develop mechanistically-informed risk maps; and (3) Developing and promoting software and computational best-practices such as open-source code for the environmental health sciences.”
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
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Last Reviewed: December 19, 2025