
Bioprocess Digital Twins
Integrating process data, hybrid models and predictive simulation.
Yonsei UniversityBioprocess Engineering Laboratory
Connecting cell culture, process analytics and digital twins. Advancing biomanufacturing through experiments and data.
Discover BPELConnecting research methods, biological products and bioprocess development.

Integrating process data, hybrid models and predictive simulation.

Real-time sensing, analytics, soft sensors and process understanding.

Connecting automation, active learning and sequential experimentation.

Spatial flow analysis, mixing, shear, mass transfer and scale-up.

Machine learning, Bayesian optimization and model-guided design.

Genome-scale metabolic models and constraint-based analysis.

Therapeutic proteins and enzymes

Antibody-based biologics

Viral vectors for gene delivery

Manufacturing processes for cell and gene therapies

Oxygen carriers and blood substitutes

Cell-based food bioprocesses

Cell-line-specific formulations and AI-guided media optimization.

TGE media, PEI–DNA transfection and transient protein production.

Feeding strategy, culture performance and product quality.

Perfusion, cell retention and process intensification.

Geometry, CFD-guided design, scale-up and process transfer.

PAT-enabled analytics, monitoring and predictive control.
Selected work from our laboratory.
Join & collaborate
Please introduce your research interests and relevant experience. Availability and project fit are discussed individually.
Join the laboratoryResearch enquiries