I came to informatics by way of fields that taught me different ways of seeing the same problem. As an undergraduate, sociology and urban studies showed me that outcomes are downstream of structures. A year in graduate landscape architecture introduced design thinking: how to plan for scale, for use, and for people. Seven years in IT support and health informatics coursework taught me to translate between people who think in code and people who think in care. Nursing pulled me toward the bedside, where I learned what gets lost when the chart does not capture what the nurse can see.

That sequence converged in clinical informatics. I'm a PhD candidate in nursing and about to complete a Masters of Science in health informatics at the University of Minnesota. I train in learning health systems research as a CTSI T32 predoctoral fellow and a Minnesota Learning Health System Embedded Scientist Training Program (MN-LHS) fellow.  I work with mentors across nursing informatics, learning health systems, data science, and human factors.

I'm training to work as a nurse scientist whose research sits in clinical informatics and learning health systems, building the data infrastructure that lets clinical observation count as evidence at scale. The hybrid roles I'm interested in sit between embedded health system science, academic informatics, and industry collaboration. Across all three, my goal is the same: building data systems that reflect the full spectrum of clinical care and what people experience.

Contact for questions and collaborations.