Driving the Global Bioeconomy Forward.
MASTER CLASS | 2 DAYS
Digital Modelling & In‑Silico Optimization for Industrial Bioprocesses
- December 2 and 3, 2026
MASTER CLASS 1
Common Core
(Theory + Hands-on)
Acquire the foundational knowledge of digital modelling and in-silico optimization for industrial bioprocesses, combining theory and hands-on simulations.
02 December 2026
MASTER CLASS 2
Specialization Tracks
Apply modelling technologies at both operational and strategic levels through advanced simulations and executive-focused workshops.
03 December 2026
Masterclass Overview
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.
ABOUT
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.
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.
€1,900.00
/ participant
Requirements
- No particular knowledge
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)
Deliverables
- Training materials (PDF)
- Temporary access to modelling tools
- Certificate of completion
- Networking sessions
Training provided
- in English
Trainers
Trainer Name
Position / Business
Trainer Name
Position / Business
/ participant
Learning Goals
After the 2-day Master Class, participants will be able to:
Understand the principles and limitations of genome-scale metabolic modelling
Gain awareness of various modelling layers: regulatory networks, enzymatic kinetics, AI predictors
Perform basic in-silico simulations of industrial bioprocesses
Integrate transcriptomics/metabolomics data into predictive models
Identify metabolic bottlenecks using in-silico tools
Understand where digital modelling creates value in the R&D roadmap
Build an internal strategy for adopting modelling technologies
MASTER CLASS 1
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
Common Core (Theory + Hands-on)
- 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
Trainer Name
Position / Business
Trainer Name
Position / Business
Trainer Name
Position / Business
MASTER CLASS 2
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.
Pricing
(excl. VAT)
MASTER CLASS 1
Common Core (Theory + Hands-on)
02 December 2026
MASTER CLASS 2
Specialization Tracks
03 December 2026
Combined 2-Day Program
MASTER CLASS 1 + MASTER CLASS 2
(2 Days)
Final price:
€1,900.00
/ participant
Registration & Participation Rules
All training content, presentations, and documents provided during the Masterclass remain the exclusive intellectual property of the Organizer or its trainers. Materials may be used by participants for personal use only, without reproduction, distribution, or external use without prior written authorization.
Both parties comply with applicable data protection laws, including GDPR. Personal data is used solely for registration, communication, and course management, kept secure, and deleted or anonymized after the training unless legal retention is required.
Within 15 days after registration: 100% refund
More than 90 days before the Masterclass: 30% retained
Between 60 and 90 days before: 50% retained
Less than 60 days before: no refund
Force majeure: no refund
Other reasons: 100% refund within 30 days
Contract termination possible after written notice and 30‑day resolution period
Partial refunds evaluated if program is modified
Organizer liability limited to registration fee refund
Why BIOKET Masterclasses?
Bridging advanced expertise with real-world industrial application.
Learn with top-tier experts and hands-on infrastructure designed for impact.
Contact:
Renata Abreu
