Building the Digital Twin: From Data to Real-Time Decision Intelligence
Digital transformation in bioprocessing is not about dashboards, it’s about decision intelligence. Modern biomanufacturing requires systems that do more than report data; they must synthesize information in real time to guide smarter, faster, and more confident decisions.
Yuanyuan Cui is at the forefront of this evolution, helping lead the transition from static data analysis to integrated digital twin environments capable of predicting outcomes and guiding live manufacturing decisions. At Sanofi, she operates at the intersection of advanced modeling, multivariate data analytics, and operational deployment, turning complex data streams into actionable insights that improve process understanding and reliability.
In her session, Yuanyuan will take attendees through the practical journey of building and deploying digital twins in bioprocess development and manufacturing. Participants will gain in-depth insights into:
Transitioning from offline modeling to real-time control – enabling predictive decision-making that actively shapes process outcomes.
Integrating diverse process data streams into unified analytical frameworks – creating a single source of truth for faster, more informed decisions.
Overcoming organizational and technical barriers to digital adoption – ensuring digital twin initiatives move from concept to operational impact.
Digital twins are increasingly recognized as essential tools for reducing variability, accelerating tech transfer, and enhancing process understanding. Yuanyuan’s approach goes beyond theory, grounding this emerging technology in real-world implementation realities. Attendees will leave with a clear roadmap for leveraging digital twins to drive smarter, more predictable, and more agile bioprocess operations.
Don’t miss this session to learn how to transform your data into actionable intelligence and bring the promise of digital twins to life in your organization.