People

The Spatiotemporal Exposures and Toxicology group in October 2023. Top Row: Eva Marques, Daniel Zilber, Ranadeep Daw, Mariana Alifa. Bottom Row: Insang Song, Kyle Messier

Group Lead

Kyle P Messier, PhD

Kyle P 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, {SET}grp, within the Predictive Toxicology Branch. He also holds a joint appointment with the National Institute of Minority Health and Health Disparities (NIMHD) in Bethesda, Maryland and a secondary appointment in the NIEHS Biostatistics and Computational Biology Branch. 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.

Postdoctoral Fellows

It’s no secret that the engine driving cutting edge research across the world is postdoctoral fellows. The SET group has many talented postdoctoral fellows with a variety of backgrounds including spatial statistics, machine learning, epidemiology, atmospheric sciences, and geography.

Current fellows, alphabetically by last name:

Paul Kruse

Dr. Paul Kruse is a mathematician with interests in computational toxicology, exposure, and risk assessment. Currently, he is developing models to characterize how human populations respond biologically to dynamic chemical exposures as a part of a broader source-to-outcome modeling framework. Kruse received a B.S. in mathematics from Carnegie Mellon University and a Ph.D. in mathematics from the University of North Carolina at Chapel Hill.

Austin Rau

Dr. Austin Rau

Kate Goodrich

Kate is a postbaccalaureate fellow whose research interests include wastewater-based epidemiology, big data analytics, and environmental exposure modeling. She has experience in global health research and environmental data science, and holds a BS in Public Health with a secondary major in Statistics from Baylor University.

Zach Stanfield

Dr. Zachary Stanfield is an environmental data scientist with experience in air pollution exposure modeling, consumer product exposures, new approach methods (NAMs), machine learning, and data mining. He holds a BS in Physics from North Carolina State University and a PhD in Systems Biology and Bioinformatics from Case Western Reserve University. Currently, he is working on a reproducible pipeline for spatio-temporal mapping of hazardous air pollutants across the US using Bayesian hierarchical modeling.

Former Members

  1. Kristin Eccles, Postdoctoral Fellow, Now at Health Canada

  2. Melissa Lowe, Postbaccalaureate Fellow, Now at Duke Cancer Institute

  3. Taylor A Potter, Postbaccalaureate Fellow, Now in medical school at Meherry Medical College

  4. Alvin Sheng, Summer Intern (2021), Currently a 5th year PhD Student in Statistics at North Carolina State University

  5. Daniel Zilber, Postdoctoral Fellow, Now a Staff Scientist at NIEHS with Shanshan Zhao in the Biostatistics and Computational Biology Branch

  6. Ranadeep Daw, Postdoctoral Fellow, Now a tenure-track Assistant Professor at the University of West Florida in the Department of Mathematics and Statistics

  7. Insang Song, Now a tenure-track Assistant Professor in the Department of Geography at Seoul National University, Korea

  8. Mitchell Manware, Data Analyst, Now a PhD Student at Yale School of Public Health, Environmental Health Sciences

  9. Mariana Alifa, IRTA Postdoctoral Fellow, Now a Data Scientist at Enverus

  10. Eva Marques, Visiting Postdoctoral Fellow, Now a Federal Engineer for Meteorology at the Ministry of Ecology, Biodiversity, Forests, and Fisheries (France)