Date/Time
Date(s) - 04/21/2025
3:00 pm - 4:00 pm
Location
Communicore, C1-004
Improvements in drug regimens can make a difference in both clinical trial success and patient outcomes. Mechanistic math models of disease dynamics are being used in drug development extensively now. We can use such math models to create digital twins of patients, and to predict optimal drug regimens for these patients. These model predictions can then be tested in studies. I will share some examples of how we personalize models and optimize regimens in various disease settings.
Bio:
Dr. Moore is a mathematician who was in academia for the first 11 years after her PhD, and won two teaching awards and received an NSF grant for her research. She then spent 15 years in the biopharma industry, modeling a variety of therapeutic areas and drug development stages. In 2018, she was named a Fellow of the Society for Industrial and Applied Mathematics (SIAM). Dr. Moore was elected for two terms on the Council of SIAM, and for one term on the Board of Trustees of the International Society of Pharmacometrics. She returned to academia in 2021, joining the University of Florida. Her research includes mechanistic systems modeling of diseases, digital twins, and optimization of drug regimens. She graduated from the University of North Carolina at Chapel Hill in 1989, and earned her PhD in mathematics from Stony Brook University in New York in 1995.