Speaker: Richard Bonneau, PhD
VP and Global Head of AI for Drug Discovery at Genentech
About the Seminar
“Integrating generative AI with Active learning to power next generation drug discovery”
I will examine two kinds of problems, design modules (tools for molecular design accelerated or improved with AI) and process optimization problems (connecting data and models to experimental design to speed and improve drug discovery). With this set up, we will explore how new approaches to generative AI are uniquely suited to enable faster better drug discovery. I’ll illustrate this by describing the Genentech/Roche ‘lab in the loop’. Powerful new design modules, like de novo hit finding will be discussed, as well as integrating multiple generative AI modules across the Genentech/Riche tech stack. With these core design modules and integrations illustrated we will proceed to describe implications for process optimization and speeding DD; with a focus on the strengths and weaknesses of both agentic and active learning frameworks. The talk will conclude with examples of how our ML-DD effort is integrated into active DD experimental teams and some of the innovations in that lab that AI and ML elicit.
Event Details
- Date: March 9, 2026
- Time: 11:30 a.m. – 12:30 p.m.
- Location: BST3 6014