Overview
I am a quantitative epidemiologist with methodological expertise in the design and analysis of observational studies that leverage data from cohort studies, registries, and the electronic health record (EHR). My background, training, and research is in the measurement and characterization of biomarkers, risk factors and treatment outcomes for chronic disease using real-world datasets. My primary research interests are in the use of novel sources of data, including the EHR, to conduct chronic disease research at the intersection of informatics, biostatistics, and epidemiology. My ongoing work aims to integrate informatics, epidemiology, and biostatistics to reduce the burden of chronic disease. I have topical expertise in multiple chronic diseases, including oncology, cardiovascular disease, and chronic kidney disease. In parallel, I have a portfolio of research that aims to understand the impact of social determinants of health, including dynamic neighborhood changes, such as gentrification, on the health of adults and children.
Current Duke Appointments & Affiliations
Recent Scholarly Works
Large-scale proteomics to identify novel biomarkers linking social determinants of health to heart failure risk.
Journal article Sci Adv · August 21, 2026 Adverse social determinants of health (SDOH) associate with greater heart failure (HF) risk. Among 9879 community-based participants of the Atherosclerosis Risk in Communities (ARIC) cohort study, we assessed 4955 plasma proteins using an aptamer-based pla ... Full text Link to item CiteAssociation of baseline quality of life (QOL) and early death in patients with metastatic renal cell carcinoma (mRCC) in the real-world prospective observational ODYSSEY study.
Conference Journal of Clinical Oncology · June 1, 2026 4559Background: Baseline QOL has been linked to survival in mRCC therapy clinical tri ... Full text CiteC22-21 Social Drivers of Health and Post-critical Illness Depression
Conference American Journal of Respiratory and Critical Care Medicine · May 1, 2026 AbstractIntroductionOne in three survivors of critical illness experience depression. We know that clinical factors such as sev ... Full text CiteRecent Grants
1/3 CTSA UM1 at Duke University
ResearchFaculty Member · Awarded by National Center for Advancing Translational Sciences · 2025 - 2032AI-driven Multimodal Model for PrEP Candidacy Assessment in Women (AiM-PrEP)
ResearchPrincipal Investigator · Awarded by National Institutes of Health · 2026 - 2031Interdisciplinary Research Training Program in AIDS
Inst. Training Prgm or CMEMentor · Awarded by National Institutes of Health · 2010 - 2030View All Grants