John Wambaugh

Principal Computational Exposure And Toxicokinetic Research Scientist

Chapel Hill, North Carolina, United States
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Summary

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John Wambaugh is a Principal Computational Exposure and Toxicokinetic Research Scientist with nearly two decades of leadership in computational toxicology, exposure science, and high-throughput toxicokinetics. He builds open-source tools and models—like the widely used httk package and SEEM predictors—that enable rapid IVIVE, PBTK simulations, and population variability analyses to inform chemical risk assessment and reduce animal testing. A former EPA research leader and co-founder of ExpoCast, he has translated complex pharmacokinetic and exposure data into actionable regulatory insights while mentoring many trainees and organizing communities of practice. John combines a physics and computer science background with advanced statistics, Bayesian methods, and machine learning to push NAMs from concept to regulatory use. Based in Chapel Hill, he now leads computational exposure research at UL Research Institutes while teaching and supervising NAMs-focused graduate work at UNC. Despite a deep regulatory track record, he still draws on his experimental and algorithmic roots—from building imaging rigs in physics labs to authoring R packages—to solve practical challenges in environmental health.
code11 years of coding experience
job14 years of employment as a software developer
bookPh.D. Physics, Ph.D. Physics at Duke University
bookM.S. Physics, M.S. Physics at Georgia Institute of Technology
bookB.S. Physics, B.S. Physics at University of Michigan
languagesEnglish, Russian
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Github Skills (5)

ord10
r-package10
r10
ms-data1
bayesian1

Programming languages (2)

RHTML

Github contributions (5)

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cran/httk

Mar 2015 - Sep 2022

Contributions:21 commits in 7 years 7 months
HumanExposure/SEEM3RPackage

Jun 2021 - Aug 2025

Contributions:9 pushes, 1 branch in 4 years 2 months
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