Current Work
AI-native patient insight built on regulated clinical development experience.
PatientStories.ai extends the same operating discipline used in sponsor-side digital clinical development into patient-centered apps, narrative capture, security layers, and structured signal generation.
PatientStories.aiPrincipal-led product and architecture work around narrative medicine, patient-centered clinical trial apps, AI-assisted interpretation, and evidence translation.
Dynamic CVApplied AI publishing workflow: source library, job context, reader-specific framing, and Netlify deployment as a live professional evidence system.
AI implementation surface
Hands-on build areas that show applied AI product architecture.
Figma product designPrompt-driven clinical app prototyping, interaction design, consent flows, and patient-centered UX.
Security layersMagic links, bot-friction concepts, consent-before-PHI, PII/PHI separation, and trust-first design.
Narrative transformationUnstructured patient stories converted into structured signals, LifeBox concepts, pattern detection, and follow-up prompts.
Clinical trial appsPatient check-ins, community insights, research readiness, site/patient workflows, and evidence translation.
Clinical development bridge
Current AI-native product work builds on recent sponsor-side execution.
Ultragenyx / Rarify
Regulated digital clinical development, protocol feasibility, endpoint strategy, OLT/SLT participation, live pivotal Phase III endpoint support in EMEA, site/patient workflows, device logistics, and inspection-ready execution.
Open proof →
PatientStories.ai
AI-native architecture for patient narratives, structured signals, Figma-based app design, privacy/security layers, and research insight workflows.
Open proof →