Post-Doc Project Description

Chemical and physical agents in the environment can adversely affect human health.  Fulfilling the mission of EPA to protect human and ecological health requires the best possible understanding of the quantitative relationships between exposure to such agents and adverse health effects.  The overall goal of this project is to substantially improve our understanding of how biological adaptive processes modulate the sensitivity of people to environmental stressors.  Refined computational models will be developed that accurately predict the relationships between exposure to environmental stressors and the resultant dose-time response surfaces for adverse heath effects.  This research effort will interface with ongoing efforts to develop "virtual tissues" that will, with time, provide a capability for in silico prediction of dose-time response surfaces.  Together, these efforts will improve both our understanding of and ability to predict risks of adverse health effects in people exposed to toxic chemicals.  The incumbent will be responsible for evaluating relevant scientific literature for developing computational models based on this literature.  The incumbent will also be part of a team of computational toxicologists working on related problems and will be expected to contribute to their ongoing discussions.