Date: April 17, 2026

Presenter:

John Wambaugh, Ph.D., Principle Computational Exposure and Toxicokinetic Research Scientist, UL Research Institutes’ Chemical Insights

John Wambaugh’s work focuses on advancing computational exposure and toxicokinetic methods to better characterize chemical risks across diverse environmental and community settings. He will provide expertise on applying data‑driven models to identify chemicals of concern and support science‑based decision‑making.

The Data Science and AI Academy supports NC State in a data-driven world. The goal is to provide transformative educational experiences, foster groundbreaking research, and develop collaborative partnerships that advance the frontiers of data science and artificial intelligence.