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Tristan Bepler

@tbepler.bsky.social
414 followers 394 following 34 posts

Scientist and Group Leader of the Simons Machine Learning Center @SEMC_NYSBC. Co-founder and CEO of OpenProtein.AI. Opinions are my own.

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Tristan Bepler @tbepler.bsky.social · 20/06/2025
Indels are still a major challenge for variant effect prediction and protein design. PoET-2 has significantly improved the state-of-the-art for functional and clinical indel variant effect prediction. 3/4
PoET-2 is state-of-the-art for zero-shot variant effect prediction of both DMS indels and clinical indels in ProteinGym.
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Tristan Bepler @tbepler.bsky.social · 20/06/2025
Why does no one in AI protein engineering work on indels? We’re solving this at OpenProtein.AI. Check out our upcoming indel design tool! 🤩 1/4 @openprotein.bsky.social
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Tristan Bepler @tbepler.bsky.social · 14/05/2025
Great to see this comparison with genome language models. The hype around these models seems to have strongly outstripped where they actually are in comparison with protein models.
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Tristan Bepler @tbepler.bsky.social · 11/02/2025
Beyond predictions, PoET-2 introduces a powerful prompt grammar for protein generation. One model for: free sequence generation, inverse folding, motif scaffolding, and more! 9/13
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Tristan Bepler @tbepler.bsky.social · 11/02/2025
The results show PoET-2 has learned fundamental principles: * Improves sequence and structure understanding * Accurate zero-shot function prediction, especially for insertions and deletions * 30x less data needed for transfer learning 8/13
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Tristan Bepler @tbepler.bsky.social · 11/02/2025
This lets us break conventional scaling laws. PoET-2 achieves with 182M parameters what would require trillion-parameter models using standard architectures. 7/13
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Tristan Bepler @tbepler.bsky.social · 11/02/2025
PoET-2 takes a different approach. Instead of massive scale, we developed a multimodal architecture that learns to reason about sequences, structures, and evolutionary relationships simultaneously. 4/13
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Tristan Bepler @tbepler.bsky.social · 25/11/2024
We also saw this when we looked at transfer learning with PoET embeddings compared with ESM - www.openprotein.ai/poet-foundat...
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