About Sarah Kim
Sarah Kim, Ph.D. is a practicing pharmacometrician with a background in Applied Mathematics and a tenure-track Assistant Professor in the Department of Pharmaceutics at the University of Florida College of Pharmacy. She has received recognition from the international pharmacometrics scientific community, including the David Goldstein Award and multiple Presidential Trainee Awards from the American Society for Clinical Pharmacology and Therapeutics. As an early-stage Principal Investigator, she is currently leading several computational modeling projects to create and innovate quantitative solutions in healthcare. Since 2020, she has been serving as an AI initiative committee member at the University of Florida College of Pharmacy.
Dr. Kim’s current research focuses on:
(1) Developing disease progression model-based clinical trial simulation tools to optimize clinical trial enrichment and design of studies to investigate the efficacy of potential therapies. She is currently focusing on optimizing clinical trial designs for Duchenne muscular dystrophy and type 1 diabetes.
(2) Developing Artificial Intelligence/Machine Learning (AI/ML)-assisted imaging analysis and informatics tools that will accelerate the analysis of imaging data and provide insights into better understanding of disease progression. Ultimately, the AI/ML-based tools will help in the rational design of disease prevention and treatment strategies.
(3) Population pharmacokinetic/pharmacodynamic (PK/PD)-modeling and simulation informing experimental designs of anti-Mycobacterium tuberculosis agents to identify optimal regimens which markedly shorten the length of tuberculosis treatments and prevent the emergence of resistance.