Achievements
- Y Combinator alum from X25, one of the most selective startup accelerators
- Co-founder of Labric, building the data layer to power AI-driven scientific research
- Master’s degree from Stanford, top 10 university in tech and science
- Led data systems at Swift Solar, working on solar tech innovation
- Worked as an algorithms engineer at Protein Metrics, focusing on data-driven solutions
- Experienced data analyst consultant at Lark Health, tackling complex health data challenges
Ever heard of Caitlin Hogan
Hold up, you need to know about Caitlin Hogan. This chick is the real deal in the startup world, especially when it comes to AI and science. She’s a YC alum from X25, which already says a lot – those guys only pick the best. She’s got serious creds too, with a master’s from Stanford, top 10 school, so she’s no joke on the tech side.
Her process’s pretty wild. Started out in data – she was Head of Data Systems at Swift Solar, working on solar tech, then jumped into algorithms at Protein Metrics, and even did data consulting at Lark Health. Basically, she’s been deep in the trenches, building and crunching data for all kinds of modern stuff.
But what really lights her up is her current gig as co-founder of Labric. This isn’t just another startup. She’s building the data layer that makes AI actually work for scientific research. Think about it – science moves fast, but data is a mess. Labric’s whole mission is to structure and contextualize scientific data so researchers can crush their goals faster and more effectively. It’s like giving science a superpower, and Caitlin is leading that charge.
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Talk to herShe’s all about pushing the boundaries of what’s possible with data. And she’s doing it with a small but sharp team in SF, including Connor Hogan (ex-Google, Stanford CS). Together, they’re trying to change how scientific discoveries happen by fixing the infrastructure underneath. That’s huge, especially when you think about the possible for breakthroughs in health, tech, whatever.
What does this say about her? Honestly, she’s driven by a legit passion for making science better with tech. She’s not just building for the sake of it – she’s got a clear vision to speed up discovery, which is kinda rare. Her background shows she’s all about tackling complex problems head-on, and she’s not afraid to jump into uncharted territory.
Long story short, Caitlin Hogan is that tech scientist hybrid who’s changing how science and AI come together. She’s proving that with the right data, we can unlock superhuman possible in research. No Cap – she’s the kind of founder who’s got the brains, the hustle, and the vision to actually make a massive impact.

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