Ever wonder what happens when a wet lab biologist and a bunch of Google machine learning engineers decide to start a company? You get Cradle — and on this episode, co-founder Elise de Reus joins host Flo Lumsden to explain why. Elise breaks down how Cradle turns protein design into a genuine back-and-forth between scientists and machine learning models — less "here's your AI, unbox it and go," more "let's figure this out together." Flo presses her on what "ML-native" actually means (spoiler: it involves a scissors analogy that somehow works), and Elise explains why the real magic isn't the model alone — it's the loop itself. They also get into the bigger picture: antibodies that skip the mouse, enzymes that survive your laundry machine, and why designing proteins faster — and in the loop, not in isolation — could mean faster answers for the diseases we're all still waiting on treatments for.
Recorded live at SynBioBeta, where the scientists, the machine learning crowd, and (increasingly) the compute giants all show up to compare notes.
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