top of page
Latest News
Other Updates
12/12/2024
Dr. Chou gave a presentation entitled “Advancing Nanomedicine Through Artificial Intelligence (AI)-Driven Computational Modeling and Applications” in Computational Modeling & Machine Learning in Biology & Medicine Workshop at the University of California, Riverside.
11/30/2024
Dr. Chou has been appointed to the ad hoc scientist reviewer for Airborne Hazards and Burn Pits-1 (AHBPE-1) peer review panel of the FY24 Toxic Exposures Research Program (TERP) for the Department of Defense (DOD). Congressionally Directed Medical Research Programs (CDMRP).
10/30/2024
Dr. Chou has been appointed to the ad hoc scientist reviewer for Environmental Protection Agency (EPA) Scientific Advisory Board (SAB) to provide independent advice on the Integrated Risk Information System (IRIS) Toxicological Review of Chlorofom.
06/2024
Dr. Chou join the Review Panel of NIH Small Business: Computational, Modeling, and BioData Management.
05/2024
Dr. Chou accepted the offer from the Journal, Frontiers in Public Health as Associate Editor.
03/13/2014
Dr. Chou received the Best Paper Award of the Year 2023 presented by the Biological Modeling Specialty Section during the Society of Toxicology annual conference in 2024.
02/14/2024
Dr. Chou gave a seminar presentation entitled “Leveraging Computational Modeling and Artificial Intelligence to Advance Environmental Health and Toxicology Research” invited by the Environmental Toxicology Graduate Program at the University of California, Riverside.
01/05/2024
Dr. Chou has been appointed to the Environmental Protection Agency (EPA) Scientific Advisory Board (SAB) to provide independent advice on the Integrated Risk Information System (IRIS) Toxicological Review of Inorganic Arsenic.
01/01/2024
Dr. Chou officially joined the Department of Environmental Sciences in the College of Natural & Agricultural Sciences at University of California, Riverside (UCR).
12/13/2023
Dr. Chou gave a webinar presentation entitled “Integrating Machine Learning and Quantitative Structure Activity Relationships (QSAR) Modeling Approaches to Develop Artificial Intelligence (AI)-Assisted Interactive Physiologically Based Pharmacokinetic (iPBPK) Modeling Web Dashboard” for Triple-Sponsored Webinar by Risk Assessment Specialty Section (RASS), Biological Modeling Specialty Section (BMSS) and the American Association of Chinese in Toxicology (AACT).
09/23/2023
Dr Chou’s manuscript entitled “Development and Application of an Interactive Generic Physiologically Based Pharmacokinetic (igPBPK) Model for Adult Beef Cattle and Lactating Dairy Cows to Estimate Tissue Distribution and Edible Tissue and Milk Withdrawal Intervals for Per- and Polyfluoroalkyl Substances (PFAS)” has been accepted by Food and Chemical Toxicology.
07/24/2023
Dr Chou’s manuscript entitled “An artificial intelligence-assisted physiologically-based pharmacokinetic model to predict nanoparticle delivery to tumors in mice” has been accepted by Journal of Controlled Release.
04/26/2023
Dr. Chou gave a webinar presentation entitled “Machine learning and artificial intelligence in toxicology and physiologically based pharmacokinetic modeling in supporting chemical and nanoparticle toxicity and dosimetry assessment” for ExxonMobil Biomedical Sciences (EMBSI).
04/05/2023
Dr. Chou gives a guest lecture entitled “An introduction to computational modeling and artificial intelligence in exposure science and its application in Environmental Chemicals, animal drugs, and nanomedicine” for the course “PHC 6702: Environmental Monitoring and Exposure Assessment” at UF. (04/05/2023)
03/23/2023
Dr. Chou was elected as a Councilor of the Biological Modeling Specialty Section of Society of Toxicology.
03/23/2023
Best Publication Award of the Year 2022 presented by Nanoscience and Advanced Materials Specialty Section; Recipients: Dr. Chou and Dr. Zhoumeng Lin; Title of the publication “Development of a multi-route physiologically based pharmacokinetic (PBPK) model for nanomaterials: a comparison between a traditional versus a new route-specific approach using gold nanoparticles in rats”.
bottom of page