Hui Shao, PhD

Associate Professor | Hubert Department of Global Health, Rollins School of Public Health

Biography

Dr. Hui Shao is an associate professor at the Hubert Department of Global Health and the Department of Family and Preventive Medicine. He was a Steven M. Teutsch Prevention Effectiveness Fellow at the CDC and won the 2020 CDC Health Economic Research Group Kaafee Billah Award. Dr. Shao serves as an external advisor and course director for the modeling track of the CDC Steven M. Teutsch PE Fellowship.

Dr. Shao specializes in pharmacoepidemiology, pharmacogenetics, pharmacoeconomics, microsimulation modeling, and machine learning/AI. His research focuses on using AI and machine learning for precision medicine and public health in diabetes and multimorbidity. His work transforms complex data from clinical trials and real-world sources into actionable insights, advancing precision medicine and health policies.

He leads significant research projects funded by the NIDDK and CDC. One project (R01DK133465) uses machine learning to identify patient subgroups benefiting from innovative glucose-lowering medications, aiding precision public health policy and reducing health disparities. Another project (U18DP006711) evaluates the cost-effectiveness of lifestyle interventions for U.S. veterans using advanced microsimulation models. Dr. Shao also leads a CDC-funded project (U18DP006512) to develop a national surveillance system for monitoring diabetes among children, adolescents, and young adults.

Dr. Shao's team has developed several large-scale microsimulation models for diabetes, obesity, and multimorbidity, including the renowned BRAVO diabetes model, used by federal agencies and industry for evaluating health programs and interventions.