I'm an emerging-technology strategist. I evaluate where technologies are heading and help organizations invest ahead of the curve — across industrial systems, AI, robotics, and life-critical devices, from the foundational work behind the da Vinci Surgical Robot to the Zoll AutoPulse.
A case for grounding AI in physical reality and human impact — choosing outcomes over income.
Watch the talk →My journey began at MIT, where I studied physics and competed as a finalist in the 2.70 robotics competition — which led me to DEKA, working directly with Dean Kamen on foundational medical systems like bedside peritoneal dialysis and the iBOT — the self-balancing wheelchair whose technology went on to become the Segway. I later refined my approach at Stanford under IDEO founder David Kelley, who instilled a human-centered design philosophy that still anchors my work today.
I'm a parallel entrepreneur by practice: I've always built ventures alongside institutional R&D roles, which means I advise from live experience — on the tensions between scientific rigor and speed, between technical depth and investor narrative, between building and fundraising — not from distant memory.
Whether building centers of excellence or launching startups, I'm drawn to complex problems and to scaling high-impact innovation from early research through global commercialization — across medical, military, and consumer products, in some of the most highly regulated environments there are.
Across corporate research, national labs, and venture ecosystems, I build the evaluation systems that decide which technologies are worth the bet — and when.
The judgment is the same whether the question is a research portfolio at scale, a pre-company science team, or an emerging technology reshaping an entire sector. Working within the research is how I find the market opportunity, and it usually turns out to be bigger than anyone assumed.
Pre-company work with tough-tech teams coming out of MIT labs — de-risking science on its way to becoming a company.
Full-spectrum strategy for coupling small modular reactors with AI data centres — from sovereign power and sovereign AI to the upstream research pipeline and downstream humanitarian impact. frontierindustries.co.uk
Venture cohorts, from research concept to fundable company.
Mentoring Design for Scale and Applications of Energy in Global Development — the gap between what performs in a lab and what survives in the field.
AI understands language far better than it understands physical reality. Closing that gap in the high-touch places that need it most: elder care, healthcare, and manufacturing.
Course 2.177 guest lecturer; mentor at MassRobotics (Physical AI Fellowship, AWS/NVIDIA) and Techstars Boston.
Neural-input wearables — and the framework that guided the research behind them.
Seeing the wearable future two decades early.
Life-critical devices, from CPR to remote surgery to children's prosthetics.
Mobility, dignity, and the accidental birth of a scooter — plus a competition that made engineering a sport.
Sensing and imaging, from helmet safety to swing analysis.
Technology in demanding, real-world conditions.
A human-centered process — and, increasingly, a framework for evaluating which emerging technologies are worth the bet.
Finding the unmet need and identifying the hidden potential of emerging technologies.
Working with users and communities to create new solutions.
Making sure it works — and keeps working — for the users and communities it serves.
Research becomes a solution only when it meets a genuine need and survives real use. That's the gap I work in — between what's possible and what actually helps. If you're working there too, I'd like to hear about it.
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