Interview with Muller Mu

“Lab-in-the-loop”

As part of the AI to Optimize track at the upcoming Lab of the Future Congress Europe, we caught up with Muller Mu, End-to-End AI & MLOps Lead at Roche. Muller shared insights into his work implementing MLOps in pharma research and enabling the “lab-in-the-loop”—a concept aimed at creating a seamless feedback loop between laboratory experiments and AI models. He discussed the key challenges his team is addressing and the progress they’ve made, offering attendees a preview of what to expect from his session.

Watch the full interview below.