Achievements
- Founded Reverie Labs to develop brain-penetrant cancer therapies using AI
- Participated in Y Combinator Winter 2018 batch
- Reverie Labs grew to a team of 29 before acquisition
- Reverie Labs was acquired by Ginkgo Bioworks in Feb 2024
- Expertise in machine learning, full stack, data science, and infrastructure
- Has professional ties to Stanford University and Flatiron Health
Have you met Connor Duffy
Yo, you gotta hear about Connor Duffy. Dude’s a straight-up tech and biotech firecracker. Started out grinding at Stanford, right? Dude’s got serious chops in machine learning, full stack, data science, all the heavy stuff that powers the coolest AI projects today. But what’s wild is, instead of just staying in the labs or tech stacks, he jumped into startups, really got his hands dirty with real-world problems.
He founded Reverie Labs, which is all about using AI to crack cancer, like next-gen, brain-penetrant stuff. Think about that, not just any cancer treatment, but cutting through the brain barrier. That’s some advanced science. The company was based in Cambridge, MA, and grew pretty fast, 29 people, a real team, doing some serious work. And get this, they crushed it so hard that Ginkgo Bioworks, one of the biggest biotech players out there, scooped them up in Feb 2024.
What does that say about Connor? Dude’s got a fire for making shit happen. He’s all about solving big-ass problems, not just tech for tech’s sake. His process from Stanford to founding Reverie Labs proves he’s driven to push boundaries, whether it’s AI or biotech. He’s the kind of guy who spots a problem, jumps in the deep end, and figures out how to crush it.
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Talk to herAnd he’s not stopping. Dude’s been through the startup grind, seen what works, what doesn’t, and clearly knows how to build something that’s not just cool but actually makes a difference. That’s the real deal, a guy who combines mad technical skills with a vision to change lives. Follow him on Twitter if you wanna see what’s next, ’cause no cap, this guy’s just getting started.

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