معرفی
Hui Shao is an Associate Professor at Emory University's Hubert Department of Global Health with a joint appointment in the Department of Family and Preventive Medicine (School of Medicine). He holds an MD in endocrinology from Shandong University and a PhD in health economics and policy from Tulane University. Dr. Shao's research focuses on AI-driven precision medicine and public health strategies for diabetes and multimorbidity, leveraging machine learning and microsimulation modeling. His work integrates clinical trial and real-world data (e.g., EHRs, claims) to improve healthcare decision-making.
Research Interests:
- Comparative effectiveness analysis of diabetes interventions
- Pharmacoeconomics and cost-effectiveness modeling
- Machine learning applications in public health
- Health disparities in chronic disease management
- Diabetes prevention and management strategies
Awards:
- 2022 International Society for Cardiology Best Researcher Award
- 2021 ADA President's Selected Abstract
- 2020 CDC HERG Kaafee Billah Award
- 2019 CDC Early Career Innovator Award
His research portfolio includes collaborations with the CDC's Division of Diabetes Translation and the DiCAYA Network (focusing on diabetes surveillance in youth). Dr. Shao has contributed to policy-relevant studies on drug pricing (e.g., Medicare negotiations) and innovative payment models. His lab actively develops computable phenotypes for EHR-based diabetes surveillance and predictive analytics for CKD progression.
