Announcement of the fourth AI4b.io Symposium

AI4b.io 2024 symposium without text
Photo taken during the 2024 symposium at the Vakwerkhuis, Delft

Date: April 15-16, 2025

Location: Delft, the Netherlands

We are excited to invite you to the fourth AI4b.io Symposium, where cutting-edge Artificial Intelligence meets the complex challenges of Bioscience. Taking place in the vibrant city of Delft, this year’s symposium is themed: “AI in Bioscience: Redefining Frontiers”

This year's symposium is hosted by Mondai, House of AI, located in Delft. 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.

 

What to Expect

Immerse yourself in two days of:

  • Inspiring Presentations and Posters: Dive into diverse topics ranging from large-scale factory scheduling to the genetic manipulation of microorganisms.
  • Engaging Interdisciplinary Discussions: Explore the intersection of AI and bioscience across fields like:
    • Scheduling in process industries
    • Fluid dynamic modeling
    • Lab automation
    • Optimal experimental design
    • Microbiome precision feed
    • Metabolic engineering
    • Molecular machine learning
    • Human-aware constrained optimization

Confirmed invited speakers 

  • Karoline Faust
     Associate Professor in Microbiological Bioinformatics at KU Leuven (link)
  • Gabriel D Weymouth
    Professor of Ship Hydromechanics at TU Delft (link)
  • Vitor A.P. Martins dos Santos
    Professor of Biomanufacturing and Digital Twins, Wageningen University & Research (link)
  • Daniel Probst
    Assistant Professor, Wag
    eningen University and Research (link)

Day 1 Schedule 

Time

Schedule 

Speaker Name &  Affiliation 

9:00-10:00 

Arrive, register, coffee 

 

10:00-10:15  

Opening talk 

Marcel Reinders 
Delft University of Technology 

10:15-11:00 

Keynote: Adding Insight to Artificial intelligence 

Gabriel Weymouth 
Delft University of Technology 

11:00-11:15 

Break (15 minutes) 

 

11:15-11:40  

Compartment modelling meets Deep Learning: Towards an efficient modelling approach for bioreactor gradients 

Hector Maldonado 
Delft University of Technology 

11:40-12:05 

The flow must go on: dynamic scheduling algorithms for biomanufacturing 

Kim van den Houten 
Delft University of Technology 

12:05-12:30 

Use of ensemble modelling for bubble size measurements with an optical fibre probe 

Rik Volger 
Delft University of Technology 

12:30-13:45  

Lunch 

 

13:45-14:30 

Keynote: On the challenges of predicting gut microbial community dynamic 

Karoline Faust 
Katholieke Universiteit Leuven 

14:30-14:45 

Break  

 

14:45-15:10 

ABaCo: Correcting Technical Heterogeneity for Metagenomic Data integration using Adverserial Generative Models 

Edir Vidal 
Novo Nordisk Foundation Center for Biosustainability 

15:10-15:35 

Prediction and reengineering of MADS-box proteins using structure-based machine learning

Alejandro Sanchez 
University of Amsterdam 

15:35-15:50 

Break  

 

15:50-16:15 

ENFORCE: Exact Nonlinear Constrained Learning with Adaptive-depth Neural Projection 

Giacomo Lastrucci 
Delft University of Technology 

16:15-16:40 

Inferring Discrete Dynamical Models of Biological Systems with Program Synthesis 

Reuben Gardos Reid 
Delft University of Technology 

16:40-17:00 

Closing remarks 

 

17:00-20:00 

Borrel + Dinner at Firma van Buiten 

 

 

Day 2 Schedule 

Time 

Schedule 

Speaker Name &  Affiliation 

9:00-9:30 

Arrive, register, coffee 

 

9:30-10:15 

Keynote: AI-driven decentralised biomanufacturing 

Vitor Martin Dos Santos 
Wageningen University and Research 

10:15-12:45 

Poster session + Networking 

 

12:00-12:45 

Lunch 

 

12:45-13:10 

Machine Learning-assisted pathway optimization in large combinatorial design spaces: a p-coumaric acid case study 

Paul van Lent 
Delft University of Technology 

 

13:10-13:35 

Automatic generation of control structures in industrial process flow diagrams with transformers 

Dominique Goldstein 
Delft University of Technology 

13:35-14:00 

Text2Model: Generating dynamic chemical reactor  models using large language models 

Sophia Rupprecht 
Delft University of Technology 

14:00-14:30 

Break (30 minutes) 

 

14:30-14:55 

All-Atom Novel Protein Sequence Generation  Using Discrete Diffusion 

Gijs Admiraal 
Delft University of Technology 

14:55-15:20 

Predicting the Solubility of Organic Compounds in  Solvent Mixtures with different Machine Learning 

Simona Buzzi 
Katholieke Universiteit Leuven 

15:20-15:45 

AI-guided design of property-optimized copolymers  including stoichiometry and chain architecture 

Gabriel Vogel 
Delft University of Technology 

15:45-16:00 

Break (15 minutes) 

 

16:00-16:45 

Keynote: Extending the Canon of Computational Representations of Molecules 

Daniel Probst 
Wageningen University and Research 

16:45-17:00 

Closing remarks 

 

17:00-18:00  

Borrel 

 

 

Poster pitches 

A dedicated time slot for poster pitches has been scheduled (on Day2, 10:15 – 10:35) to help draw attention to the posters. Presenters have the opportunity to give a brief 2-minute pitch summarizing their work before the poster session begins. Participation is optional, and slides will be compiled into a single presentation for smooth transitions. The poster session will follow immediately after the pitches.

 

Why Delft?

Delft, renowned for its historic charm and innovation culture, provides the perfect backdrop for this event. Conveniently located near major airports:

  • Schiphol Airport: Direct train connection (~40 minutes) to Delft’s main station
  • Rotterdam Airport: 20-minute taxi ride to the city center

Location

This year's symposium is hosted by Mondai, House of AI, located in Delft. 

 

Documents & links

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