Dr. John Wambaugh is a Research Physical Scientist with the Center for Computational Toxicology and Exposure at the U.S. Environmental Protection Agency (EPA). John's areas of active research include high throughput methods for chemical exposure, toxicokinetics, and toxicology. John applies these high throughout tools to characterize the potential public health risk from chemicals identified in biological and environmental media. He co-leads the EPA “exposure forecasting” or “ExpoCast” project. The ExpoCast project has worked to develop rapid methods both for predicting chemical exposure and characterizing chemical occurrence using suspect screening and non-targeted analysis. John develops and evaluates predictive models using mathematics, machine learning, Bayesian methods, and other applied statistics techniques. John collaborates on the design of new experiments to refine models and reduce uncertainty in chemical risk assessment. A primary focus of John’s research is in vitro-in vivo extrapolation (IVIVE), including the development of high throughput toxicokinetics (HTTK). He leads development of the R package “httk”. John received his Ph.D. in physics and M.S. in computer science from Duke University in 2006. He is adjunct faculty in the Department of Environmental Sciences and Engineering at the University of North Carolina, Chapel Hill. Dr. Wambaugh has co-authored more than 100 peer-reviewed scientific articles.