Bioprocess Digital Twin
Connecting process data and predictive models to understand cell-culture states and dynamics.
We combine observations from process analytical technology (PAT) with mechanistic and data-driven models. Hybrid modeling and simulation support state estimation, process development and predictive control.
WHY IT MATTERS
Interpreting measurements alongside models provides a basis for understanding process changes and selecting operating conditions.
Research directions
- Hybrid modeling and process simulation
- PAT-based monitoring and state estimation
- Fed-batch development and predictive control