We are pleased to announce the third AI4b.io Symposium, scheduled for April 9-10, 2024. Explore the field of Artificial Intelligence for Bioscience at our venue in Delft. The symposium highlights the current methods and challenges of applying AI to bioscience challenges. We welcome both theoretical and applied contributions from industry and academia.

Registration and submission closed!

Join us for a series of insightful presentations and posters, covering topics that range from large-scale factory scheduling to small-scale genetic manipulation of microorganisms, focusing on the interdisciplinary field of AI and Bioscience. Previous editions showed an inspiring interplay between industry and academia. The symposium explores topics with an AI aspect, and related to for example:

• 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

Tuesday 9th of April:

• Molecular machine learning for property prediction and molecular design by Jana Weber (Delft University of Technology, Netherlands) LinkedIn 
• Learning to understand living systems:  AI for multi-omics data by Sanne Abeln (Utrecht University, Netherlands) LinkedIn
  

   

Wednesday 10th of April:

• Prediction + Optimisation Problems by Tias Guns (KU Leuven, Belgium) LinkedIn
• What can AI do for science, and what can science do for AI?  by Jan Willem van de Meent (University of Amsterdam, Netherlands) LinkedIn

Call for abstracts

We would like to invite both practitioners and developers of AI in the mentioned topics to contribute to the symposium with a poster and/or oral presentation. If you want to communicate your work, please prepare a short abstract. Please download and use the abstract format provided. We welcome participants from academia and companies, including start-ups, to apply and contribute. The deadline for abstract submission closed on February 12th, 2024.

Location

This year's symposium including the dinner and closing drinks will be held at the Vakwerkhuis, Professor Snijdersstraat 2, 2628 RA Delft. This beautiful location is a 10-minute walk from the central station. The meeting is in a building 30-40 meters from the indicated address, there will be signs leading you towards the venue.  See the walking instructions towards the meeting room. Delft can be accessed from the airports Schiphol and Rotterdam. Delft has a main railway station which is directly connected to Schiphol Airport (approximately 40 minutes). Rotterdam Airport is about 20 minutes from Delft city center by taxi.

Schedule

DAY 1	SCHEDULE	SPEAKER	AFFILIATION
10.00 - 10.30	Arrive, Register, Coffee
10.35 - 10.45	Opening talk by AI4b.io	Marcel Reinders	Delft University of Technology
10.45 - 11.10	Machine learning-guided optimization of p-coumaric acid production in yeast	Sara Moreno Paz	Wageningen University and Research
11.10 - 11.35	Computational Microbial Genomics	Thomas Abeel	Delft University of Technology
11.35 - 12.00	Phytogenic feed additives and antibiotic growth promoters show differing poultry microbiome and transcriptome profiles.	Chengyao Peng	Delft University of Technology
12.00 - 13.00	Lunch
13.00 - 14.00	Learning to understand living systems:  AI for multi-omics data	Sanne Abeln	University of Utrecht
14.00 - 14.25	Application of heterogeneous FBA to microalgae	Michiel Busschaert	KU Leuven
14.25 - 14.50	Hybrid Deep Learning Model for In-silico Optimization of a Dynamic Perfusion Cell Culture Process	Jeroen van de Laar, Chris McCready	aBioPQ, Sartorius Data Science
14.50 - 15.10	Break
15.10 - 16.10	Molecular machine learning for property prediction and molecular design	Jana Weber	Delft University of Technology
16.10 - 16.35	Prospects of automatic prediction of process control structure using generative AI	Dominik Goldstein	Delft University of Technology
16.35 - 17.00	Teaching artificial intelligence to (bio)-chemical engineers	Tanuj Karia	Delft University of Technology
17.00 - 20.00	Dinner
DAY 2	SCHEDULE	SPEAKER
8.45 - 9.15	Arrive, Register, Coffee
9.15 - 9.40	D2D: A foundation model applied to predict the impact of mutations on protein function	Tzavella Konstantina	Vrije Universiteit Brussel
9.40 - 10.05	DeepRank2: Exploring 3D Protein Structures Through Geometric Deep Learning	Giaulia Crocioni	Netherlands eScience Center
10.05 - 10:30	Graph neural networks for molecular mixture properties	Roel J. Leenhouts	KU Leuven
10.30 - 11.00	Coffee
11.00 - 12.00	What can AI do for science, and what can science do for AI?	Jan - Willem van de Meent	University of Amsterdam
12.00 - 13.00	Lunch
13.00 - 13.25	Physics-informed neural networks for modeling of methanol reactors	Giacomo Lastrucci	Delft University of Technology
13.25 - 13.50	Topology-aware soft sensor modeling leveraging graph neural networks	Maximilian Theisen	Delft University of Technology
13.50 - 14.15	Generative AI with Human in the loop	Jie Yang	Delft University of Technology
14.15 - 15.45	Poster session + Coffee
15.45 - 16.45	Prediction + Optimisation Problems	Tias Guns	KU Leuven
16.45 - 17.00	Closing words by AI4b.io	Hans Roubos	DSM-Firmenich
17.00 - 18.00	Closing drinks