Conference

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01/11/2023
07h00 PM

Saint Maurice de Beynost, France

MASTER CLASS – Digital Modelling & In-Silico Optimization for Industrial Bioprocesses.

General Information

Date: December 2 and 3, 2026
Local: TBD
Number of participants for each Masterclass: 15 to 20 participants
Participant profile:

Metabolic engineers & strain engineers
R&D and process development scientists
Process & fermentation engineers
Innovation managers, digital transformation leads
CTOs, R&D Directors, BU Managers
Project managers & tech transfer leads
Investment analysts (technical due-diligence)

Brief description

Bioprocess R&D faces increasing pressure: long development cycles, scale-up uncertainties, high costs, and growing data complexity. Digital modelling technologies now offer a decisive competitive advantage by enabling faster, smarter and more reliable industrial biotechnology development.

iMEAN’s advanced modelling platform leverages genome-scale metabolic models, regulatory networks, enzyme kinetics, cellular burden modelling and AI-based predictors to achieve near-90% predictive accuracy for fermentation and biocatalysis performance. These “digital organisms” unlock:

  • Accurate prediction of microorganism behaviour under industrial conditions
  • Full exploitation of OMICS & enzyme biodiversity data
  • Targeted experimental design focusing on the highest-value options
  • Faster, more robust bioprocess design, optimization & scale-up
  • Enhanced decision-making for R&D investment strategies

This Master Class gives executives and scientists a foundational yet actionable introduction to these technologies through theoretical modules and hands-on simulations.

A unique 2-day training to accelerate digital transformation in industrial biotech. Delivered directly by modelling experts from iMEAN – the European leader in biological system simulation.

  • Learning goals:

After the 2-day Master Class, participants will be able to:

  • Understand the principles and limits of genome-scale metabolic modelling
  • Gain awareness of various modelling layers: regulatory networks, enzymatic kinetics, AI predictors
  • Perform basic simulations of industrial bioprocesses
  • Integrate transcriptomics/metabolomics data into predictive models
  • Identify metabolic bottlenecks using in-silico tools
  • Understand where and how modelling creates value in the R&D roadmap
  • Build an internal strategy for adopting modelling technologies
  • Requirements: TDB
  • Language: English
  • Deliverables:
    • Training materials (PDF)
    • Temporary access to modelling tools
    • Certificate of completion
    • Networking sessions

Detailed Program

DAY 1 – Common Core (Theory + Hands-on

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Metgen | Managing Director

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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

DAY 2 – Specialization Tracks
Operational Track (Engineers, Project Leaders, Experts)

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Metgen | Managing Director

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Advanced simulation: cellular burden models
Modelling regulatory networks
Integrating OMICS data
Modelling microbial communities in bioprocesses

Executive Track (CXOs, Managers)

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Metgen | Managing Director

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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

Pricing

€1,900 / participant

2 days

MASTER CLASS

Registration & Participation Rules

Intellectual Property
Both Parties retain ownership of their respective trademarks, logos, and materials. All training content, presentations, and documents provided during the Masterclass remain the exclusive intellectual property of the Organizer or its trainers and may be used by the Participant for personal use only, without reproduction, distribution, or external use without prior written authorization.

Data Protection
Both Parties agree to comply with applicable data protection laws, including GDPR. Personal data shared for the Masterclass will be used solely for registration, communication, and course management, kept secure, not disclosed to unauthorized third parties, and deleted or anonymized after the training unless legal retention is required.Each Party keeps ownership of its trademarks, logos, and materials.

Cancellation by the Participant
Within 15 days after registration: 100% refund.
More than 90 days before the Masterclass: 30% of the fee is retained.
Between 60 and 90 days before the Masterclass: 50% of the fee is retained.
Less than 60 days before the Masterclass: no refund.
Cancellation must be submitted in writing and is valid only after confirmation from the Organizer.

Cancellation by the Organizer
If cancelled due to force majeure, no refund is due.
If cancelled for any other reason, 100% of the paid fee will be refunded within 30 days.

Additional Provisions
If one Party fails to meet its obligations, the agreement may be terminated after written notice and a 30-day period to resolve the issue.
If part of the program is modified or reduced, any applicable partial refund will be evaluated based on the portion of the training delivered.
The Organizer is not liable for damages or compensation beyond the possible refund of the registration fee.

Additional Provisions

  • If one Party fails to meet its obligations, the agreement may be terminated after written notice and a 30-day period to resolve the issue.
  • If part of the program is modified or reduced, any applicable partial refund will be evaluated based on the portion of the training delivered.
  • The Organizer is not liable for damages or compensation beyond the possible refund of the registration fee.

About Imean

For more than seven years, iMEAN has developed and delivered cutting-edge biomodelling solutions for industrial clients across the biotech, food, chemical and pharma sectors. With over 130 completed modelling projects, iMEAN offers unparalleled expertise in:

  • Genome-scale metabolic modelling
  • Multi-scale modelling (microbial communities, regulatory networks, kinetics…)
  • OMICS data integration
  • Digital twins for bioprocesses
  • Predictive optimization for industrial R&D

iMEAN empowers R&D teams to design better processes, reduce development time by months, and derive value from their data.

Contact us

Johan De Coninck

Head of BIOKET

Renata Abreu

Sponsorship & Exhibition

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