Clinical translator by training — MD, not a practicing physician, fluent on both sides of the table. Twenty years in orthopedic technology and health-system partnerships; now founder of co-op.care and SolvingHealth, shipping the systems I used to advise on.
Two jobs, one skill. I take health-technology companies into the U.S. market — commercialization, health-system partnerships, reimbursement. And I embed with AI and deep-tech teams as the clinical translator who turns lab science and models into signed, reimbursed, adopted care.
I've spent 20+ years building relationships between technology companies and health systems. I know how deals get done, where they stall, and why. From pilot programs to system-wide adoption, I speak the language on both sides.
The proof: seven years at Pristine →I've been in the room when healthcare companies get acquired. InVivoLink (HCA Healthcare), PumpOne (Anytime Fitness), Disior (Paragon 28) — I've helped navigate the diligence process, validate market positioning, and close deals.
The proof: the InVivoLink chapter →I built BrainLAB's orthopedic navigation vertical from zero to $250M. I know what it takes to bring surgical technology to market, gain surgeon adoption, and scale globally.
The proof: the BrainLAB chapter →Right now I'm looking to go deep with a small number of teams — a health-technology company taking on the U.S. market, or an AI / deep-tech group that needs a clinical translator in the room, not on a call. Fractional, embedded, or full-time. If that sounds like your team, let's talk.
Start a conversation →Healthcare doesn't have an app shortage — it has a systems shortage. I don't build another interface. I architect the whole chain, where every layer serves a clinical purpose and a human owns every decision that carries liability. Three I've built:
The system: the technology that tells a surgeon where to place the instrument — imaging, planning, sensors, and the OR workflow, integrated into one trusted loop. What it proves: I've architected clinical technology in the highest-stakes room there is, and gotten surgeons to trust it. Grew that vertical to $250M across two continents; five patents in the method.
The patents, primary source →The system: assessment → care plan → delivery → billing for home-based care, mapping soft home visits into hospital-grade structured data (Omaha System → FHIR). What it proves: I ship, now — a deployed platform, not a deck. Every layer earns its place, clinically and financially.
See it running: co-op.care →The system: an on-device model for orientation, sensors for signal, and a physician for every decision that carries liability — the machine never becomes the source of a medical fact. What it proves: I design at the current frontier, and I put human accountability at the exact seam where it belongs. Proven end-to-end on Apple's on-device model.
The architecture, published →The pattern never changes: connect biology, sensors, AI, clinicians, and reimbursement into one chain — and keep a person accountable where it counts. That's the job. If you're building a system like this, I want to be in the room.
Let's build one →Twenty years at the boundary between surgeons and technology — one continuous thread, not a list of jobs. Tap any stop to see what it taught me about getting innovation adopted.
Every role below is the same job in a different costume: translate between the people who hold the scalpel and the people who build the technology. Tap a stop to follow the thread.
Founder, co-op.care (aging-in-place care cooperative). Clinical AI evaluation and safety testing for healthcare AI companies. Building SolvingHealth's physician-facing product stack — every card below is a real live domain.
A $59/month care cooperative where the caregiver is an owner. A physician-led assessment determines — case by case — when care qualifies as a medical expense, and documents it when it does. The caregiver stays. The family stays. Boulder-first, national-next.
Wonder Bill catches the billing codes your EHR template skipped. Prior Auth drafts letters in 60 seconds. Pocket PWA hands patients a tap-to-refer rail. Zero EHR integration required — enter your NPI, profile live in 10 seconds.
AI generates clinical content; licensed physicians review and attest with a swipe, earning $12–400 per review. OIG audit-defensible via Advisory Opinion 25-03. WORM-anchored to Cloudflare R2 with 7-year object lock.
40 projects. 50 sessions. Context erodes every 200k tokens and none of your AI sessions know about each other. chanio is the tree they all reference into — a private knowledge graph organized into project channels, compiled nightly to your disk. You don't need another AI. You need one that governs all of them.
The canonical Sage chat bar that lives at the bottom of every site in the ecosystem. 241 MCP tools across 14 modules. One-click Claude Desktop install. Built for builders, free-to-start, open-schema.
Free sweat-rate calculator gives you exact sodium, potassium, and magnesium targets — then routes to a real-food cart (Skratch + bulk minerals) at ~$1.50 per session. No supplements, no manufacturing, no FDA. Content and affiliate model, Parker Warkentine as the founding distance athlete (4:19 mile).
A $79, whisper-quiet, 78% recycled home growing system. 2-minute setup. 62% gross margin. For people who want to grow functional mushrooms at home, not buy supplements. Kickstarter-bound.
Every project above is a channel in chanio — compiled nightly, open loops surfaced, context held across sessions.
chanio.com — the governing layer →Investor, operator, or partner? How these pieces are one machine — draft with AI, sign with a human, own the record — and the bet underneath, in one read.
The investment thesis →On the post-AI transition in healthcare — accountability, reimbursement, and what it takes to make the science actually get adopted. Owned, not rented: every essay lives here first, in full. LinkedIn is where I hand it to my network.
The tutorials give the AI what you’d give a new hire — never what you’d give a licensed one. The missing layer, a named human who signs the output and owns the liability, is the whole game for regulated work.
Built from Tyler Cowen’s thesis: the bottleneck isn’t the models, it’s whether you’ve changed what you actually do. Most people only freelance with AI — where do you sit?
Every essay lands here first, in full — then I hand it to my network on LinkedIn. No Substack, no algorithm, no email wall.
Read all writing →Clinical training, business foundation, and deep domain expertise in orthopedic technology.
Fractional strategy, advisory board, healthcare M&A consulting, or just a real conversation about the agentic care stack. I read everything.