Scholarship

Research, presentations, and public-facing scholarship

My work sits at the intersection of medical education, healthcare systems, and data science. I am especially interested in how institutional incentives shape the path into medicine and how large datasets can make those patterns visible.

Featured Project

Rising Matriculation Age: The Cost of Delay

This project examines how the path to becoming a physician is changing, with a focus on the growing expectation of gap years before medical school. By analyzing national medical school admissions and survey data, I study how delayed matriculation affects physician workforce timing and the return on public investment in medical training.

The central argument is that individual admissions choices can scale into system-level consequences. A one-year delay may feel small for an applicant, but across a national cohort it changes when physicians enter practice and how many physician-years are available to patients over time.

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Work in Context

Medical Education Systems

I am interested in the policies and incentives that shape who enters medicine, when they enter, and what barriers accumulate along the way. The gap-year project began from a question many pre-med students and educators recognize anecdotally: the path to medical school feels longer and more competitive, but the system-level cost is rarely measured directly.

Clinical Data Work

Alongside medical education research, I am building experience with electronic medical record datasets and retrospective clinical analysis. These projects are helping me connect statistical methods, reproducible workflows, and patient-centered questions in a way I hope to continue during medical school.

Communication

I care about making research understandable beyond the people who already work in a field. Presentations, visualizations, and plain-language writing are part of the work, not an afterthought.

Future Directions

I plan to keep developing this work in two directions: deeper analysis of medical education pipelines and more clinical research using patient-level datasets. Longer term, I want my scholarship to be technically rigorous, useful to clinicians and educators, and clear enough for broader audiences to engage with.