Jay Lusk
MD, MBA

About Me

I am a clinician-scientist in preventive medicine, population health sciences, and data science. I am passionate about transforming our health systems to better prevent and manage chronic disease burden. I have a specific clinical focus on brain health promotion and cardiovascular multimorbidity prevention. In research, I am an experienced population health scientist with specific expertise in causal inference, geospatial analysis, and big data research on routinely-collected healthcare data including administrative claims and electronic health records. I aspire to a career as a clinician-leader focusing on public health and preventive medicine. 

Educational History

BSc, Hons in Life Sciences, cum laude

Yale-NUS College (2014-2018)

Margolis Scholar in Medicine

Duke University Margolis Institute for Health Policy (2021-2022)

American Heart Association Predoctoral Fellowship

Duke University Department of Population Health Sciences (2022)

MD, Primary Care Leadership Track

Duke University (2018-2023)

MBA, Certificate in Healthcare Sector Management

Duke University Fuqua School of Business (2020-2023)

Internship, Internal Medicine

Duke University (2023-2024, expected)

Residency, Preventive Medicine and Public Health

University of North Carolina at Chapel Hill (2024-2026, expected)

Portfolio

Featured Projects

You can see some of my featured research-in progress below

Data Science to Promote Health Equity in Dementia Care

Designed and led an ongoing project using Medicare claims data to study health equity in dementia care. The project integrates an intersectional approach to dementia health equity and leverages advanced geospatial analytical methods. 

Understanding Cardiovascular Multimorbidity Progression

Principal investigator for an American Heart Association-funded study using Medicare claims data to model disparities in the development and progression of severe cardiovascular multimorbidity. I integrated several statistical methods including multistate survival modeling and Markov chain-based simulation to estimate life and health expectancies for patients with cardiovascular multimorbidity.