About Hui Shao
Hui Shao received his Bachelor of Medicine and Master of Health Administration from Shandong University. He then completed his PhD in Health Policy and Administration from Tulane University in 2017. After graduation, Hui was recruited by the Steven M. Teutsch Prevention Effectiveness (PE) Fellowship program at the Centers for Disease Control and Prevention (CDC), a program designed for leadership development among health economists/modelers with expertise/skills to evaluate economic issues in public health programs at a national scale. Hui 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.
Honors & Awards
Research interests: Diabetes, Disease Progression Modeling/Simulation, Machine Learning and Artificial Intelligence, Health Economics and Outcomes Research, Health Technology Assessment/ Policy Evaluation, Advanced Econometrics