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AlphaFold, Boltz-2, & the latest foundation models have changed how researchers approach molecules & 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, & 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, & investors
Who should come
Biotech & pharma teams doing drug discovery, especially those scaling or outsourcing computational work, evaluating partners, or stress-testing an existing pipeline. Researchers, founders, & 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
Questions? caroline@azulenelabs.com
This event is part of Deep Tech Week. Create a free profile at deep-tech-week.com/register to help hosts approve your registration & build your schedule for the week.
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