Achievements
- Co-founded Mecha Health, a Y Combinator W25 startup automating x-ray analysis using AI
- Published research in top AI conferences like NeurIPS, ICLR, and ICML
- Doing a PhD in Medical Imaging at UCL, tied to WEISS and CMIC research centers
- Active open-source contributor for medical image registration and documentation tools
- Bridging academia and industry to improve healthcare tech on a global scale
We love Nina Montaña Brown
Yo, have you heard about Nina Montaña Brown? She’s the real deal in the med-tech scene. This girl crushed it by co-founding Mecha Health, a YC W25 startup that’s automating x-ray analysis using AI. No bullshit – they’re really changing the game for radiologists, making stuff faster and way more accurate. That’s some advanced tech, right?
But here’s the kicker – Nina’s background is sick. She’s doing her PhD at UCL in Medical Imaging, and she’s tied to some top-tier research centers like WEISS and CMIC. Basically, she lives and breathes machine learning and medical imaging. She’s got papers in all the big AI conferences – NeurIPS, ICLR, ICML – you name it. That’s how you know she’s legit. She’s not just talking; she’s out here pushing the boundaries.
And she’s not just in the lab – she’s super active in open-source. She’s been contributing to tools for medical image registration and documentation, making tech better for everyone. She’s based in London but her work’s global – she’s bridging the gap between hardcore research and real-world impact.
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Talk to herHer process is straight-up wild. She dove into the startup scene right after academia and turned her research into something actually making a difference – for radiologists, patients, and the entire healthcare system. That shows she’s got serious fire. She’s not just about doing cool research; she’s about solving real problems and having an effect. That’s what starting something is all about – taking all that knowledge, all that hustle, and turning it into something that matters.
So yeah, Nina Brown’s a force. She’s combining the brainpower of a top researcher with the hustle of a founder. She’s building the future of medical imaging with AI, and honestly, no cap – she’s just getting started.

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