An Open Forum hosted by Mirror Physics

Let’s go beyond chatbots and explore AI agents for real scientific workflows.

In this workshop we’ll explore how agentic tools can accelerate drug discovery across the entire span of preclinical work: searching published literature and patents, generating novel compound candidates, hit-to-lead optimization, ADMET screening, designing efficient laboratory experiments, and everything in between.
Making an agent genuinely useful in drug discovery requires more than access to a powerful model. We’ll discuss what AI agents are, how they differ from conventional chatbots, what goes into effectively leveraging their capabilities, and what we think is most exciting about this emerging technology.

Bring your laptop! Through hands-on drug-discovery examples, we’ll explore reliability and human verification, security and privacy, context and scaling limits, and the tradeoffs between quality, speed, and cost.

Bring your drug discovery questions, preclinical pipeline struggles, and pharmaceutical expertise and try out agentic tools first-hand.

Who Should Attend

This workshop is especially relevant for:

• Scientists working in preclinical drug discovery
• Computational and medicinal chemists
• Biologists working with computational teams
• Biotech founders and pharma R&D executives
• Scientists interested in incorporating AI into existing research workflows

No AI or machine-learning expertise is required, just a computer.

About Us

Mirror Physics builds AI agents for drug discovery.
Our product, Axon, combines frontier AI models with scientific tools and computational infrastructure to aid scientists working on all stages of preclinical drug discovery.