How is AI impacting your discovery chemistry?  A roundtable discussion with Nathan Brown

Date: 6 October, 2026

Time: 2:30 pm- 4:30 pm BST 

Host: Nathan Brown 

Register your interest

AI is everywhere in drug discovery, and so is the expectation that you’re using it. But when you’re the one who has to make it work, you’ll know it’s not a trivial task. 

Our recent webinar brought up far more questions than we had time to answer, so it’s clear that there is still a lot to figure out. 

You’re invited to join a small, closed discussion hosted by our Director of Science, Nathan Brown, to ask questions, share experiences, and learn from one another. We’ve deliberately kept spaces limited to ensure the conversation stays candid and everyone has enough time to contribute. 

What we’ll get into 

The session will largely be shaped around you and what you want to discuss. But as a starting point, suggested topics will be: 

• How do you efficiently balance AI output with existing tools and expertise within the team? 

• What does it take for an AI model or tool to earn your trust? And what happens when it loses your trust? 

• How do you determine whether an AI model adds value or ends up costing you time? 

• How have your expectations of what these tools can do shifted since you started using them? 

• What does the role of a CADD scientist look like now? 

Who is this for? 

Anyone currently using AI tools in their own discovery chemistry work. 

How do I join? 

If you’d like a seat, fill in the form with your details and a topic that you’d like to include.