About
I envision health technology that meets patients where disease actually unfolds: at home, between clinic visits, and in the moments when they need answers.
I am an MD/PhD candidate in the University of Pittsburgh – Carnegie Mellon University Medical Scientist Training Program. My research bridges neuroscience, sensing, and human–AI interaction, grounded in neurodegenerative disease. This includes (1) measuring how people and their brains respond to interactive systems, using EEG and physiological signals; (2) patient-facing AI that decides what an answer should accomplish, not just whether it is correct; and (3) at-home tools that capture how a condition changes between visits.
My path began at the bench, studying how dopamine signaling is regulated in neurodegenerative disease, in C. elegans, in human cells, and through population studies of cholesterol-lowering medication. Alongside the lab, I have designed and built for people, from front-end development and user testing on a patient portal at Allscripts to machine learning for health analytics, and I recently co-founded a digital health startup for people with Parkinson's disease.
I have co-authored 20+ peer-reviewed papers, including a CHI 2026 paper that received an Honorable Mention (top 5%), and co-authored more than 25 conference presentations at venues including CNS and AANS. I graduated as valedictorian of Fisk University and am a member of Phi Beta Kappa. Outside the lab, I build clinics, training programs, and educational centers in impoverished communities.
- Human–AI interaction in health
- Neural & physiological signals
- Global neurosurgery & neurotrauma
- Neurodegenerative disease