Machine Learning and Artificial Intelligence in Toxicology and Environmental Health

Dr. Wei-Chun Chou is a Research Assistant Professor of the Department of Environmental and Global Health and a member of the Center for Environmental and Human Toxicology (CEHT) at the University of Florida. He received his PhD in Biomedical Engineering and Environmental Sciences from the National Tsing Hua University, Taiwan in 2013. He completed his postdoctoral training in the Institute of Computational Comparative Medicine at Kansas State University in 2021. His research focused on the development of computational models for prediction of chemical toxicity and its application on human health risk assessments without resorting to animal testing. The goals are accomplished by integrating in vitro high-throughput toxicity screening data, physiologically based pharmacokinetic (PBPK) modeling, machine learning and artificial intelligence to quantitatively describe the relationships between environmental exposure and mechanisms that cause adverse effects in human populations. He has received several awards and honors from the Society of Toxicology (SOT), including the Andersen-Clewell Trainee Award of the Biological Modeling Specialty Section and Best Paper Award of Risk Assessment Specialty Section.