MPH Candidate, Epidemiology · Emory University
Incoming PhD Student, Health Science Informatics · Johns Hopkins Medicine
I am an MPH candidate in Epidemiology with a Certificate in Data Science at the Rollins School of Public Health at Emory University, and an incoming PhD student in Health Science Informatics at Johns Hopkins Medicine. My work sits at the intersection of computation, biology, and population health, with a commitment to building integrative models that connect multi-omic signals, clinical data, and population-level outcomes.
My MPH thesis investigates the cardiovascular effects of testosterone therapy using longitudinal electronic health record data from the STRONG cohort (Kaiser Permanente, N approximately 345,000), applying time-to-event analysis, causal inference methods, and missing-data approaches. In parallel, I work in Dr. Chang Su’s Biostatistics and Bioinformatics lab, using SCARlink to analyze chromatin accessibility and gene expression and study enhancer-gene interactions in Alzheimer’s disease. These projects have shaped my interest in computational frameworks that bridge molecular mechanisms and clinical outcomes.
My path began at Spelman College, where I graduated summa cum laude with a B.A. in Psychology and completed an undergraduate thesis examining the Strong Black Woman Schema and emotional overeating. That project – combining survey design, moderation analysis in R, and community-centered research – showed me how quantitative tools can illuminate the social forces that shape health. I have since built on this foundation through research fellowships, international data science internships, and public health leadership, always with a focus on equity, reproducibility, and meaningful discovery.
Building computational frameworks that connect chromatin accessibility, gene expression, and clinical phenotypes to study regulatory mechanisms in disease.
Investigating cardiovascular outcomes associated with testosterone therapy in transgender populations using large EHR-based cohort data and survival models.
Developing reproducible, interpretable analytic pipelines that integrate molecular, clinical, and population-level data for translational discovery.
Examining structural disparities in cancer staging, transgender health, and global nutrition to ensure computational research reflects the communities it serves.
2025 Accepted to the PhD program in Health Science Informatics at Johns Hopkins Medicine (expected May 2030).
Aug 2025 Won 2nd Place at the Morehouse School of Medicine Cancer Research Symposium for poster on lung cancer disparities at Grady Health System.
Oct 2025 Joined Dr. Chang Su’s Single-Cell Genomics lab at Emory to investigate enhancer-gene regulation in Alzheimer’s disease.
May 2024 Graduated summa cum laude from Spelman College – top 5 graduate and Ethell Wadell Githii Honors Scholar.