Victor Puig I Laborda

Victor Puig I Laborda is a Postdoctoral Researcher at the Department of Chemical and Biochemical Engineering, Technical University of Denmark (DTU), affiliated with the PROSYS - Process and Systems Engineering Centre. His interdisciplinary work bridges chemical engineering, computational fluid dynamics, and machine learning to advance bioprocess modeling and industrial scale-up methodologies.

His research centers on developing digital twin technologies through integration of systems biology models and computational fluid dynamics. Key interests include bioreactor compartment modeling using flow-informed clustering, unsupervised learning for operational regime identification, and multi-scale process optimization. This work addresses critical challenges in translating laboratory bioprocesses to industrial production while maintaining efficiency and product quality.

Victor's 2025 publications highlight an emerging trend toward data-driven bioprocess engineering: his CFD compartment modeling paper introduces computational efficiency gains for reactor simulations, while his unsupervised learning research enables real-time process monitoring. Both contributions demonstrate practical applications for industrial biomanufacturing scale-up challenges.

As part of PROSYS, Victor contributes to DTU's leading process systems engineering hub, which fosters industry-academia collaboration through projects in bioprocess digitalization, reactor design optimization, and advanced process control. The center provides state-of-the-art computational resources and experimental facilities supporting cutting-edge research in sustainable chemical production.