Detailed Program

Summary

Introduction to digitalization in biotechnology and the main modelling approaches used in bioprocess R&D, including mechanistic vs AI-based models, genome-scale metabolic modelling, in-silico simulations, and practical case studies with virtual DOE and optimization scenarios.

Full description

  • Introduction to digitalization in biotechnology
  • Types of mathematical models used in bioprocess R&D
  • Strengths & weaknesses of mechanistic vs AI-based models
  • Introduction to genome-scale metabolic modelling
  • In-silico bioprocess simulations
  • Practical case studies:
  • Predicting microorganism growth
  • Identifying metabolic capacities & nutritional needs
  • Simulating production of industrial compounds
  • Virtual DOE & optimization scenarios

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Trainer Name

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Trainer Name

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Summary

Gain practical insight into industrial chromatography—from separation mechanisms and media selection to process design and scale-up. Includes system operation, troubleshooting, and digital tools to improve performance and operational efficiency.

Full description

🔹 Operational Track (Engineers, Project Leaders, Experts)
  • Advanced simulation: cellular burden models
  • Modelling regulatory networks
  • Integrating OMICS data
  • Modelling microbial communities in bioprocesses
🔹 Executive Track (CXOs, Managers)
  • Strategic overview of modelling for R&D acceleration
  • Digital transformation of biolabs & data value creation
  • Co-creation workshop: resolving R&D bottlenecks through modelling
  • ROI modelling and designing an R&D roadmap incorporating digital tools

Trainer Name

Position / Business

Trainer Name

Position / Business

Trainer Name

Position / Business