Beyond Black-Box AI for Drug Discovery: What to do when frontier AI models fail?

​🧬 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

• ​🎙️ Founders' fireside with three startups working at the frontier of drug discovery

• ​💬 Audience Q&A

• ​🤝 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.

• ​📍 San Francisco (venue shared upon approval)

• ​🥂 Light bites + drinks

• ​✨ Capacity is limited, register early.

​Hosted by Azulene Labs, Bakar Bio Labs and Pebblebed