Improvements in drug regimens can make a difference in both clinical trial success and patient outcomes. Optimal control can be used to mathematically optimize regimens, which can then be tested experimentally and clinically. I will show examples of optimization of regimens for math models of various diseases, and discuss some of the work that remains to be done.

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 at Genentech, Certara, Bristol-Myers Squibb, AstraZeneca, and Applied BioMath. In 2018, she was named a Fellow of 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 Laboratory for Systems Medicine in the College of Medicine at the University of Florida. Her research includes mechanistic systems modeling of diseases, validation of mechanistic models, 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.