Adrian Raudaschl
Adrian Raudaschl

AI Product Leader

Adrian Raudaschl

Doctor turned product leader. I build AI tools to help researchers advance human knowledge.

I left medicine to build products that help researchers accelerate discovery. Now I lead LeapSpace at Elsevier, focused on making AI tools that genuinely support the advancement of human knowledge.

I started my career as an NHS doctor. Those intense shifts treating patients one by one showed me something I couldn't ignore: the problems I saw weren't unique to my hospital or even my city. They were systemic. And whilst I could help individual patients, I kept thinking about how much more impact I could have if I built tools that helped thousands, even millions of people at once. That realisation led me to trade my stethoscope for product strategy.

Now I'm a Senior Director of Product Management at Elsevier, where I lead LeapSpace, the research-grade AI workspace. My goal is simple: help researchers find the knowledge they need to advance human understanding, whether that's curing diseases, understanding climate change, or exploring the cosmos. I've also created RAG-Fusion, an open-source contribution that others in the AI community have found useful. It's medicine at a different scale.

My approach comes from those early days in medicine: define what good looks like before diving in, measure real behaviour (not assumptions), and meet people where they are, not where you think they should be. Whether it's building AI systems or making pasta sauce, the principle stays the same.

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Quick links to discover more about my work

My Favourite Articles

Handpicked pieces I'm particularly proud of or that sparked the most interesting conversations

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Good Words

Favourite highlights from a decade of reading, captured with Readwise

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Questions I'm Sitting With

Things I keep turning over. No answers yet, and that's the point.

  • 1.

    What would academic research look like if we designed discovery tools for curiosity rather than productivity?

  • 2.

    How do you build trust in AI systems when the people using them understand the domain better than the system does?

  • 3.

    Is there a version of 'evidence-based' thinking that doesn't accidentally filter out the questions worth asking?

  • 4.

    What's lost when we optimise for finding answers instead of sitting with better questions?

Experimental 3D scan

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.