About EPA

About the National Exposure Research Laboratory (NERL): Computational Exposure Division (CED)

What We Do

The Computational Exposure Division (CED) develops and evaluates data, decision-support tools and models to be applied to media-specific or receptor-specific problem areas. Scientists use modeling-based approaches to characterize exposures, evaluate fate and transport, and support environmental diagnostics/forensics with input from multiple data sources. CED scientists:

  • Develop modeling tools needed to support implementation of the Clean Air, Clean Water, Safe Drinking Water, and Endangered Species Acts;
  • Evaluate the accuracy and reliability of modeling tools that characterize changes in meteorology, air quality, pollutant deposition, and watershed biogeochemistry, as well as ecological and human exposures in response to changes in land use and climate change;
  • Support environmental diagnostics and forensics with input from multiple data sources;
  • Develop receptor-specific models, process models and decision support tools; and
  • Develop, apply and evaluate models that estimate human exposure to environmental contaminants and the resulting internal dose.

Programs and projects managed by the Computational Exposure Division (CED):


Lindsay Stanek, Interim Director