Research Interests

I strive to develop exposome data integration and machine learning algorithms to better discover actionable patterns from big health data. My research considers the totality of the biological, lifestyle, and environmental factors that impacts population health and provides personalized solutions that allow individuals and neighborhoods to improve their health and wellness. Specifically, I am interested in the following topics:

• Precision Health
• Exposome
• Machine Learning
• Integration of Multi-Type, Multi-Scale Health Data
• Environmental, Cardiovascular, and Perinatal Epidemiology
• Health Disparities

Ongoing Research Projects

• Post-Acute Sequelae of SARS-CoV-2 Infection and Subsequent Disease Progression in Individuals with AD/ADRD: Influence of the Social and Environmental Determinants of Health. NIH/NIA RF1. Contact PI.
• Hypertensive Disorders of Pregnancy and Early-onset of AD/ADRD: Influence of the External Exposome. NIH/NHLBI K01 Administrative Supplement. PI.
• Hypertensive Disorders of Pregnancy and Early Risk of Maternal CVD: Influence of the External Exposome. NIH/NHLBI K01. PI.
• The External Exposome and COVID-19 Severity. NIH/NIEHS R21. Contact PI.
• The External Exposome and COVID-19 Severity among Individuals with Alzheimer's Disease and Related Dementias. NIH/NIA and NIEHS R21 Administrative Supplement. Contact PI.