Hui Shao is an associate professor at the Hubert Department of Global Health, with a joint appointment at the Department of Family and Preventive Medicine. Dr. Shao has an interdisciplinary research background, with an MD degree in endocrinology and a Ph.D. in health economics and policy. He was a Steven M. Teutsch Prevention Effectiveness (PE) Fellow at the Centers for Disease Control and Prevention (CDC), Division of Diabetes Translation, and the winner of the 2020 CDC Health Economic Research Group Kaafee Billah Award.
Dr. Shao has strong research expertise in comparative effectiveness analysis and pharmacoepidemiology, health economics and pharmacoeconomics, microsimulation modeling, and machine learning. Dr. Shao’s research focuses on the development and application of AI and machine-learning methods in precision medicine and precision public health in diabetes and multimorbidity. His research harness the power of modern analytical AI methods to generate new insight into data from clinical trials and the real world, such as medical claims and electronic health records.
HONORS AND AWARDS
2022 International Soceity for Cardiology and Cardiovascular Medicine: Best Researcher Award
2021 American Diabetes Association: The President Selected Abstract
2020 Centers for Disease Control and Prevention: HERG Kaafee Billah Award
2019 Centers for Disease Control and Prevention: Early Career Innovator Award
2017 Patient Access Network (PAN) challenge: Honored Award
Areas of Interest
- Chronic Diseases
- Health Disparities
- Health Economics
- Health Policy
- Machine Learning
Affiliations & Activities
Jointly appointed, Department of Family and Preventive Medicine, School of Medicine.
- No Publications listed