Join us in exploring how generative and agentic AI are transforming biology, from biomolecule design to autonomous experimentation across all scales of life

Seoul, South Korea
Joined August 2023
Poster session begins in Hall A: Region: 709–717, 800–817, 900–911
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We would like to congratulate all the best paper award winners! 🎉 we thank @nvidia, @DEShawResearch, @AurekaBio and @genesismolai for sponsoring these awards!
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Third speaker, Yusuf Roohani from @arcinstitute on Engineering cell state using artificial intelligence
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Next we have Prof. Yunha Hwang on Genomic Language Modeling for Context-Aware Biological Discovery
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Bringing in synthetic data improve FlashPP
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Our first speaker in the GenAI in bio session, Prof. Martin Steinegger
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“Agents are only good as the the tools that they can use”
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After the first poster session we will resume the session on GenAI for bio: The first talk : by Prof. Martin Steinegger
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Jeremy Wohlwend from @boltz_bio on specialized models for biology and agentic integration
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“With the same wet lab validation budget, if we do inference time scaling, we see a scaling law for the hit rate”
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“Agents will help humans to navigate through complex design spaces”
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Joy Jiao from @OpenAI on capabilities of frontier AI models for biology, chemistry and material science talks
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“Teaching models about research taste is an open question. At the moment expert taste is what steers models on effective trajectories”
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How do we put science back in AI for science? Samuel Stanton from @AnthropicAI (1/n)
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“We are progressing to a future where we start to evaluate agentic discoveries with real world experiments”
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Samuel took claude science for a spin with the ‘MassSpecGym in the wild’ paper [1] for a spin executing several experiments, and here are the takeaways of the state of AI today: [1] arxiv.org/abs/2606.19624
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Our first speaker James Zou, starting off the morning session on agent orchestration for virtual biotech
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Question from audience: would agents need to do research in different ways than we do A: Agent personalities will be very important to ensure effective research
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