Accelerating Biologics Development Through Advanced Analytics and Digital Transformation

Presented by Christian Airiau, PhD, Global Head Data Sciences, CMC at Sanofi

Christian Airiau is the Head of Data Science in Sanofi, R&D in Biologics Development, based in the Boston Area. He has over 16 years of experience in the Pharmaceutical Industry, working on Data Science, Process Modeling and Process Analytical Technologies (PAT). His remit is to drive alignment across the global Sanofi network to develop Data Science, Process optimization and process control in Biologics Development. Introducing cutting edge Advanced Analytics concepts and leveraging established methodologies to accelerate Process development and strengthen Control Strategy definition. Christian is also the Advanced Analytics lead in the CMC Digital Transformation program in Sanofi, across small and large molecules. He’s trained as Chemist, he holds a Master and PhD in Data Science / Chemometrics from The University of Bristol in the UK.

Followed by a live question and answer session

Sponsored by Modersys

Modersys builds operational intelligence software for pharmaceutical, biotech, nutritional and other life sciences manufacturers. The modular platform supports the full manufacturing lifecycle, helping manufacturers monitor processes in real time, catch deviations earlier, and move from reactive troubleshooting to predictive, self-optimizing operations, within validated bounds.

The platform delivers plug-and-play capabilities for Process Development, Process Intelligence (real-time analytics and advanced process control), Event Management, Adaptive Scheduling and Equipment Health, with AI/ML built in throughout. Its Specialist AI Agents are built for the rigor of GxP, so innovation and compliance work together, never in conflict.

Built on more than 30 years of expertise, with deployments across the US, Europe and Asia Pacific, Modersys is a proven, deeply embedded platform for the world’s most demanding manufacturing environments. Customer deployments have delivered yield improvements of up to 10%, throughput gains of up to 15%, up to 50% less experimental effort, and more than 22 extra days of equipment availability per plant per year. The result is higher yield, lower variability, more capacity and faster time to market, with regulatory confidence.