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The AI to Optimize track is one of the key programs at the upcoming Lab of the Future Congress Europe. This dedicated track explores how artificial intelligence and machine learning are driving greater efficiency, productivity, and insight across the R&D value chain.
As part of this track, we spoke with one of the speakers Muller Mu, End-to-End AI & MLOps Lead at Roche, ahead of his presentation at the Congress. Muller shared insights into his work enabling the “lab-in-the-loop” and implementing MLOps in pharma research. He highlighted the key challenges his team is tackling and the progress they’ve made, offering attendees a preview of what to expect from his session.
Watch the full interview below.