AI in Bioscience: Redefining Frontiers

April 15 - April 16

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Mondai is pleased to once again host the AI4b.io Symposium
AI for Bioscience: Redefining Frontiers

We are excited to invite you to the fourth AI4b.io Symposium, where cutting-edge Artificial Intelligence meets the complex challenges of Bioscience. Immerse yourself in two days of inspiring presentations and posters that dive into diverse topics ranging from large-scale factory scheduling to the genetic manipulation of microorganisms. Explore the intersection of AI and bioscience with engaging interdisciplinary discussions across various fields, such as

  • Scheduling in process industries
  • Fluid dynamic modeling
  • Lab automation
  • Optimal experimental design
  • Microbiome precision feed
  • Metabolic engineering
  • Molecular machine learning
  • Human-aware constrained optimization

This event offers a unique platform to exchange ideas, present innovative research, and forge meaningful connections across academia and industry. Whether you’re advancing theoretical frameworks or driving practical applications, this symposium fosters collaboration to push the frontiers of AI in bioscience.

(This event will be held in English)

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Confirmed Speakers

Call for Abstracts

AI4b.io invites AI practitioners, researchers, and innovators to share their work through poster and oral presentations. This is a valuable opportunity to showcase your expertise and contribute to the growing field of AI in bioscience!

To participate, please submit your abstract following the required abstract format. Applications are welcome from academia, established companies, and start-ups alike.

Abstract Submission Deadline: February 12th, 2025

About AI4b.io

The Artificial Intelligence Laboratory for Bioscience (AI4b.io) is a collaboration between dsm-firmenich and Delft University of Technology. AI4b.io is aiming at long-term innovation in the fields of Artificial Intelligence and Bioscience to develop biobased products and to optimize biobased production technologies. Their mission is to develop a deep understanding of how novel AI technology (methods, techniques, theories, and algorithms) can strengthen the effectiveness and efficiency of relevant research and/or business processes in the biotech industry.

For five years, five PhD researchers will work in the lab. Research topics will include, among other things, Digital twin and smart plant scheduling, Digital twin for large-scale fermentation, Digital twin of lab automation processes and self-learning platforms and Machine learning for iterative metabolic engineering.

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