Develop novel machine learning methods for drug safety and predictive toxicology, integrating chemical and biological evidence to predict human outcomes and advance validated, interpretable models.
Build engineering systems, models, and products across AI, biology, infrastructure, and scientific computing to advance predictive safety assessment and drug development.