ICU nurse educator at Thompson Health. PhD student at the University of Rochester School of Nursing, UR HEART (Heart, Electrophysiology, and Arrhythmia Research Team) (Advisor: Dr. Carey). Six years of cardiac ICU practice at Strong Memorial — ECMO, LVAD, IABP, Impella, cardiac transplant. MSEd in Literacy, BSN from the University of Rochester. Building clinical AI tools alongside the research and the teaching.
Clinical: Six years in the Cardiac ICU at Strong Memorial Hospital (University of Rochester Medical Center) —
one of the leading cardiac programs in the country. Managed ECMO, LVAD, IABP, Impella, CVVHD, and cardiac transplant patients.
Currently ICU nurse educator at Thompson Health.
Academic: PhD student in Nursing Science at the University of Rochester School of Nursing,
UR HEART (Heart, Electrophysiology, and Arrhythmia Research Team) (Advisor: Dr. Carey).
BSN from the University of Rochester. MSEd in Literacy (birth–adult). BS in Childhood Education.
Research focus: implementation science, alarm fatigue, qualitative methods, AI in clinical education.
Building: Using AI tools — Claude Code, Codex, OpenClaw, and locally hosted Ollama models —
to build clinical education software. Self-hosted infrastructure on a home lab network:
Raspberry Pi gateway, Linux servers, RTX 3080 workstation, Mac mini M4 for iOS development.
Deployed tools used by real nurses and students, not prototypes.
The MSEd is why the learning design is grounded in actual science.
The ICU experience is why the clinical content is accurate.
"Clinical credibility and learning science in the same person — that combination is rare. The tools I build reflect both."
Every tool here came from a gap I experienced personally — at the bedside, in the classroom, or in my own research. No dev team. No vendor. Built with AI collaboration and deployed to people who actually use them.
Weekly intelligence for critical care nurses — high-relevance research from NEJM, Journal of Nursing Scholarship, and critical care journals, translated into bedside-ready signals. Generated with AI, reviewed by a nurse educator.
UR HEART (Heart, Electrophysiology, and Arrhythmia Research Team), University of Rochester School of Nursing. Advisor: Dr. Carey. My research sits at the intersection of clinical nursing, implementation science, and AI.
Everything I build runs on self-hosted infrastructure — a home lab network I designed and maintain. This isn't just about the software; understanding the full stack from hardware to deployment is part of how I evaluate AI systems and their clinical integration. All machines are linked via Tailscale mesh VPN — accessible worldwide, fully interconnected.