🧬 AlphaFold, Boltz-2, and the latest foundation models have changed how researchers approach molecules and proteins, but they have well-documented failure modes in the regimes that matter most for drug discovery.
Physics-informed AI offers a complementary path: combining physical rigor with the speed of modern ML to address problems where purely data-driven models fall short.
Join us for an evening with founders working at this intersection. We'll dig into where today's AI models break down, what physics-grounded approaches add, and where computational drug discovery goes next.
Format
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🎙️ Founders' fireside with three startups working at the frontier of drug discovery
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💬 Audience Q&A
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🤝 Networking with founders, biotech teams, and investors
Who should come
Biotech and pharma teams doing drug discovery, especially those scaling or outsourcing computational work, evaluating partners, or stress-testing an existing pipeline. Researchers, founders, and investors in the space are welcome too.
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📍 San Francisco (venue shared upon approval)
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🥂 Light bites + drinks
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✨ Capacity is limited, register early.
Hosted by Azulene Labs and Pebblebed
