Scientific Machine Learning in Academia and Beyond: From Theory to Real-World Impact

Dear colleagues,

 

We are pleased to invite you to the upcoming workshop:

 

Date: Tuesday, June 17, 2025

Time: 12:30–18:00

Location: Crowne Plaza Hotel, Utrecht

 

Organized by Computational Science NL in close collaboration with 4TU.AMI SRI on Bridging Numerical Analysis and Machine Learning and the national initiative AI and Mathematics (AIM), this workshop will bring together leading researchers and industry experts to explore the growing impact of Scientific Machine Learning (SciML) on real-world applications across sectors such as climate science, engineering, and infrastructure.

 

The program will include talks and discussions on practical and theoretical advances in SciML, with a focus on making tools robust and scalable for deployment.

 

• Max Welling (CuspAI, UvA AMLab)
• Stefan Kurz (ETH Zürich, Bosch Center for AI)
• Koen Strien (Ignition Computing)
• Maxim Pisarenco (ASML)
• Jan Willem van de Meent (UvA AMLab)

 

Participation is free of charge, but space is limited. To register, please email bureau@platformwiskunde.nl by May 15. A confirmation (including a short discussion document) will be sent after the deadline. 

 

Further information can be found on the website: https://www.computationalsciencenl.nl/en/scientific-machine-learning-in-academia-and-beyond/ 

 

We hope to see many of you there for an exciting afternoon of exchange and networking.

 

On behalf of the organizing team,

Wil Schilders (TU/e), Victorita Dolean (TU/e), Alexander Heinlein (TU Delft), Silke Glas (University of Twente)