About Hui Shao
Hui Shao is currently an assistant professor at the University of Florida’s College of Pharmacy, within the Department of Pharmaceutical Outcomes and Policy. One of his core research areas is predictive modeling, using advanced machine learning, microsimulation, and econometrics method to build valid predictive models to resolve real-world issues. Hui is one of the original developer of the Building, Relating, Assessing, and Validating Outcomes (BRAVO) diabetes model, which is the first person-level microsimulation model predicting the progression of diabetes based on individuals’ characteristics and treatment regimen, in the U.S. Hui is currently working with the Centers for Disease Control and Prevention on multiple projects, oversees the development process of several national diabetes/prediabetes predictive models.
Research interests: Diabetes, Disease Progression Modeling/Simulation, Machine Learning and Artificial Intelligence, Health Economics and Outcomes Research, Health Technology Assessment/ Policy Evaluation, Advanced Econometrics
As Director of Academics, Shao will organize CHPAMS’ annual conference and develop two webinar series focused on introducing advanced methods in health economics and health services research and issues-driven research…
The Centers for Disease Control and Prevention, or CDC, Health Economics Research Group bestowed Hui Shao, M.D., Ph.D., an assistant professor of pharmaceutical outcomes and policy, with the Kaafee Billah…