Digital Transformation in Biomanufacturing

Digital transformation in biomanufacturing is no longer a future ambition, it is an operational necessity. Today’s challenge is not simply collecting more data, but structuring, integrating, and leveraging it to enable intelligent, predictive process control. Organizations that can transform raw data into actionable insights gain a decisive advantage in efficiency, quality, and scalability.

Christoph Herwig will explore how Pharma 4.0 principles can move from concept to practical implementation, guiding organizations from foundational data management toward fully realized digital twins capable of predictive, real-time control. At the intersection of engineering, data science, and regulatory rigor, his work demonstrates how advanced digital strategies can be integrated into live GMP operations.

In his session, Christoph will cover:

• Building robust data infrastructures – creating a foundation that supports advanced analytics and decision-making.

• Integrating mechanistic models with machine learning – combining physics-based and AI-driven approaches for hybrid intelligence.

• Developing and validating digital twins in GMP environments – ensuring predictive models meet regulatory standards and operational realities.

• Transitioning from passive monitoring to model-based real-time control – moving from observation to proactive, automated process guidance.

As biomanufacturing facilities face increasing pressure to accelerate scale-up, reduce variability, and strengthen regulatory readiness, digital maturity has emerged as a strategic differentiator. Christoph’s session connects engineering rigor with practical implementation, providing attendees with a clear roadmap to smarter, more resilient, and future-ready bioprocessing operations.

Don’t miss this opportunity to learn how to turn data into predictive intelligence and make digital transformation a tangible driver of operational excellence.