Research Intelligence & AI Product Strategy
Doctor turned product leader. I build trustworthy AI systems that help researchers discover, verify, and act on evidence.
I started out as an NHS doctor. Those intense shifts showed me problems that were systemic, not just local, and I kept thinking about how technology could address them at a scale that clinical work alone couldn't. One side project led to another, and I ended up trading my stethoscope for product strategy.
I started out as an NHS doctor. Those intense shifts showed me problems that were systemic, not just local, and I kept thinking about how technology could address them at a scale that clinical work alone couldn't. One side project led to another, and I ended up trading my stethoscope for product strategy. Now I lead LeapSpace at Elsevier, the research-grade AI workspace built on Scopus data and publisher full-text. The work has changed, but the instinct is the same: help people access the knowledge they need to do their most important work.
The way I think about product work still comes from medicine. On the wards, you figure out what's actually wrong before you act, you watch what's happening rather than what you assume is happening, and you don't lose sight of who you're there for. That same discipline runs through everything I build, from the original Scopus AI prototype to LeapSpace, and open-source contributions like RAG Fusion which tackles the core challenge of making retrieval more reliable so AI answers can be trusted.
I think the interesting thing about going from medicine to AI for research is that the core problem is the same: people doing difficult, important work need the right knowledge at the right time. The waiting room just got a lot bigger.
Writing on trustworthy AI, research systems, and product strategy from my blog
The Next Frontier of Search: Retrieval Augmented Generation meets Reciprocal Rank Fusion and Generated Queries.
The Next Frontier of Search: Retrieval Augmented Generation meets Reciprocal Rank Fusion and Generated Queries.
Building Faster, More Reliable Agents with Sequential Retrieval-Augmented Generation
Building Faster, More Reliable Agents with Sequential Retrieval-Augmented Generation
and why I've been making Bob Dylan songs about Sonic the Hedgehog
and why I've been making Bob Dylan songs about Sonic the Hedgehog
Quick links to discover more about my work
From NHS doctor to AI product leader
Where I've worked and what I've built
AI tools and side projects I've created
Research AI, product strategy, and trust
Talks, podcasts, and appearances
Highlights from a decade of reading
Let's connect and collaborate
Favourite highlights from a decade of reading, captured with Readwise
The test of a first-rate intelligence is the ability to hold two opposed ideas in the mind at the same time, and still retain the ability to function.
F. Scott Fitzgerald · The Crack-Up
Product work is full of contradictions. This one reminds me it's fine to sit with them.
The test of a first-rate intelligence is the ability to hold two opposed ideas in the mind at the same time, and still retain the ability to function.
Product work is full of contradictions. This one reminds me it's fine to sit with them.
F. Scott Fitzgerald
The Crack-Up
We are what we repeatedly do. Excellence, then, is not an act, but a habit.
Will Durant · The Story of Philosophy
I come back to this whenever I'm tempted to chase a shortcut instead of building the muscle.
We are what we repeatedly do. Excellence, then, is not an act, but a habit.
I come back to this whenever I'm tempted to chase a shortcut instead of building the muscle.
Will Durant
The Story of Philosophy
The chief enemy of creativity is good sense.
Pablo Picasso · Conversations with Picasso
A useful antidote to the part of my brain that wants every idea to be sensible before it's even born.
The chief enemy of creativity is good sense.
A useful antidote to the part of my brain that wants every idea to be sensible before it's even born.
Pablo Picasso
Conversations with Picasso
Things I keep turning over. No answers yet, and that's the point.
What does it mean for an AI answer to be trustworthy enough to act on?
How should research tools balance serendipity with precision?
When AI can synthesise faster than humans can verify, who owns the conclusion?
What would a decision-grade AI workspace for researchers actually look like?
You found it! This is what happens when you give a doctor access to 3D scanning equipment. No patients were harmed in the making of this digital twin.
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