Health AI advisory
Making AI work for health. Strategy, leadership and technical depth, from first idea to real-world use.
I help health tech companies and health organisations decide where AI is worth it, build it properly, and prove it works.
Training
PhD in Health Data Science, University of Cambridge
Research
Alan Turing Institute & HDR UK programme; DeepMind Scholar
Publications
Peer-reviewed work in journals including the European Heart Journal
Industry
Technical co-founder of a health-tech startup; two patents from AI R&D in autonomous vehicles
Services
Where I can help
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01
“We need someone senior to lead on AI, but not full-time.”
Fractional AI and technical leadership for health tech startups and health organisations: AI and technical strategy, architecture decisions, hiring and reviewing engineering and data science work, and representing the technical side to investors, partners and boards. Typically a few days a month.
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02
“We know we should be using AI. Where do we start?”
An AI strategy sprint: a short, fixed-scope engagement to identify where AI will genuinely create value, whether your data is ready, what the risks are, and what to do first. You finish with a clear, prioritised plan.
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03
“Is our AI tool accurate and fair to every patient group?”
Independent validation and fairness audits of AI and risk prediction tools, across sex, age, ethnicity and deprivation, with practical recommendations and evidence you can share with partners, buyers and regulators.
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04
“Our leaders and teams need to understand AI properly.”
Workshops for leadership teams and staff, tailored to your organisation: what AI is good for, where it misleads, how to adopt it responsibly, and how to judge AI claims and vendors.
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05
“We need it built, not just planned.”
Hands-on delivery where it matters: clinical risk models, validation pipelines, and taking health AI from prototype to product, drawing on first-hand experience of building a preventive health platform from first build to public launch.
About
Dr Claire Coffey
I’m a health AI advisor and founder. I work at the point where AI strategy meets technical reality: helping organisations decide what’s worth doing, and making sure it’s built and validated properly. As technical co-founder of a preventive health platform, I took it from first build to public launch. Before that, my research at the University of Cambridge, The Alan Turing Institute and Helmholtz Munich focused on fair and explainable machine learning for clinical risk prediction.
I bring the rigour of academic research with the pace and pragmatism of industry.
Currently taking on new projects
Get in touch.
Tell me briefly about your organisation, what you’re trying to do with AI, and your timeline.