Healthcare product leader. Writer. Builder.
15 years taking surgical robotics, clinical AI and cardiovascular devices from idea to the hospital floor. I write about the decisions in between.
Perspectives
Work & Impact
89% adoption
First product hire. Built product, design, clinical, regulatory and quality, and launched the EHR-integrated product at Cleveland Clinic and LifeBridge Health. Granted FDA Breakthrough Device Designation.
12M+ patient lives
Pivoted company to new customer segment; built and lead product team driving future platforms and clinical AI roadmap across 350+ engineers.
$500M+ market
Led imaging and physiology products from concept to launch, including CORE M2. Co-inventor on an iFR coronary physiology patent.
$15M+ year one revenue
Launched Penumbra’s first coronary mechanical thrombectomy product despite significant negative clinical evidence; led a 30-person cross-functional team driving cath-lab adoption.
Builder’s Lab
Hands-on AI builds I use and ship: production code, agents, and local-first tools.
More on GitHub ↗Programs leader and volunteer builder for the Women Defining AI platform. I ship production features end to end, most in under 20 minutes with agentic workflows.
2,000+ member community / Volunteer build / Next.js / Agentic workflows
High Output Management, animated ↗
Grove's High Output Management as short animated lessons for first-time managers, including how to manage AI agents.
Teaching / Claude Code / Animated SVG
An agent-first career operating system on Claude Code, with a public engine kept separate from private data.
Claude Code / Agents / Python
Vault
A local-first knowledge base over plain Markdown: capture, triage, search and synthesis, with an MIT-licensed engine others can run.
Local-first / Knowledge base / Markdown
Agentic household experiments ↗
FamilyOS and Tradclaw: real household operations run through Claude-powered agents, to see where they hold up and where they break.
Agents / Claude Cowork
How I work
From customer discovery and clinical workflow to AI capability, regulatory strategy, launch and adoption.
AI products defined around clinician workflows, not just model capability: evaluation loops, trust mechanisms and adoption metrics that survive real hospital deployment.
Regulatory strategy as a product lever. Shaping the roadmap around FDA, safety, evidence and claims early enough to avoid late-stage surprises.
Moving from pilot enthusiasm to repeatable implementation: training, launch, value proof and executive buyer alignment inside health systems.
Building product functions from zero: discovery cadence, roadmap discipline and the product leadership growing teams need to scale.
A question about something I wrote, a product problem worth talking through, or an idea to build together.
I read every note.