About

I am a Research Assistant Professor in the Department of Health Outcomes and Biomedical Informatics at the University of Florida, working in biomedical informatics and data science with real-world clinical data.

My work uses electronic health records and administrative claims to improve how clinical evidence is produced: how cohorts and eligibility are defined, how care and outcomes are measured, and how predictions and study plans are checked against what the data can actually observe. Current work centers on adolescent and maternal mental health, on whether AI can help researchers specify sound data requests, and on estimating trial feasibility from real-world data.

I came to informatics from biostatistics. Before joining the faculty I spent several years at UF building and maintaining research datasets, quality measures and models, including quality measurement for the Texas Medicaid and CHIP managed care report cards, machine learning models for early prediction of Alzheimer's disease and related dementias, and clinical NLP for de-identifying notes. My doctoral research studied how trial eligibility criteria affect who can take part in clinical trials.