Genomics & risk prediction
Ancestry-aware polygenic risk scores, gene–environment interactions and equitable prediction of diabetes, cardiovascular disease and metabolic syndrome.
RESEARCH & INNOVATION
Precision science for cardiometabolic health.
BioNutriOmics studies how genetic susceptibility, diet, physical activity and social context interact across the life course.
Epidemiology & biostatistics
Longitudinal cohorts, survival analysis, repeated measures and causal questions using major federal and academic datasets.
AI & metabolic analytics
Integration of clinical data, diet, activity, CGM, sleep, metabolomics and social determinants to identify modifiable metabolic drivers.
CURRENT FOCUS
RESTORE-T2D and the cardiometabolic digital twin
Our research program is developing adaptive models that can compare potential lifestyle and clinical pathways while keeping clinicians and patients at the center of decision-making.
- Type 2 diabetes prevention and remission research
- Cardiovascular disease, stroke and metabolic syndrome
- Gene × diet × physical activity interactions
- Cancer and cardiometabolic health disparities
- Health Disparities Analytics Platform
RESEARCH EXPERIENCE
Population data and translational methods
ARICCARDIAFraminghamCHSMESAWHIJHSSEER–Medicare
Research descriptions communicate areas of expertise and development. They do not imply that experimental models are approved medical devices or available for clinical use.