I’m a medical informaticist, software engineer, and data architect, and I build the data infrastructure and analytic tooling that real-world evidence studies run on — administrative claims, EHR, and registry data. I’m currently Senior Research Informatics Applications Architect at Johns Hopkins School of Medicine (Biomedical Informatics and Data Science, BIDS), where I work across observational study design, cohort building and phenotyping, clinical terminologies, and interactive visualization, on the National COVID Cohort Collaborative (N3C), BioData Catalyst, and Bridge2AI.
I’ve spent years building data infrastructure and analytic tooling alongside epidemiologists and biostatisticians designing observational studies. I specialize in the misclassification side of that work: whether a cohort definition actually captures the patients it claims to, and whether available data covers the clinical histories a study depends on. Validating that properly is expensive enough that it’s frequently skipped — my dissertation research documented how rarely it happens — so the problem routinely goes unexamined until it has already shaped a result. I build tools that surface it early: patient-timeline and event-sequence visualizations, and interfaces for navigating sprawling, overlapping vocabularies behind cohort definitions. VS-Hub, the platform I led, was used by 200+ researchers to author, compare, and validate the concept sets defining cohorts in N3C.
I completed a PhD at the University of Maryland iSchool (2024), with a dissertation on value sets for real-world patient data analysis, and I hold an MA in Biomedical Informatics from Columbia University and an MFA in Creative Writing from Sarah Lawrence College. Earlier work includes building the Patient Profile visualization in OHDSI’s ATLAS and collaborative research with the UMD Human-Computer Interaction Lab on temporal event visualization (EventFlow). I also work on preparing complex biomedical data for AI applications and on bringing deeply informed LLM use into engineering and analysis practice.
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