I’m a medical informaticist, software engineer, and data architect, working on real-world evidence studies — administrative claims, EHR, and registry data — with the epidemiologists and clinical researchers who design them. 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 the epidemiologists and clinical researchers who design observational studies. I have particular expertise around misclassification bias: 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 requires a reference standard based on medical record abstraction, which is frequently skipped — 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, is 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 I use LLMs heavily in my own engineering and analysis.
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