Save the date! On June 17, 2025, from 12:30 to 17:30, join us at the Crowne Plaza Hotel in Utrecht for an inspiring afternoon exploring the transformative power of Scientific Machine Learning (SciML).
SciML is revolutionizing how we understand, model, and predict complex systems by merging cutting-edge machine learning with traditional scientific modeling. This fusion opens up new possibilities, particularly in data-scarce areas where expert knowledge is crucial. Breakthroughs in fields like operator learning, physics-informed neural networks, and graph-based modeling are driving innovations across industries—from climate science and infrastructure to engineering and environmental modeling.
But the journey doesn’t stop at the lab. The real challenge is translating these advances into robust, scalable, and interpretable tools for real-world applications. This workshop will focus on bridging the gap between cutting-edge research and practical deployment, bringing together experts from academia, applied institutes like Deltares, and forward-thinking industry players.
What to expect:
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Engaging talks and real-world case studies
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Lively discussions on core challenges such as uncertainty quantification, data assimilation, and graph-based modeling
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Insights into making SciML practical, reliable, and grounded in real-world constraints
Keynote speakers include:
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Max Welling (CuspAI & UvA, Amsterdam Machine Learning Lab)
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Stefan Kurz (ETH Zürich & Bosch AI)
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Koen Strien (Ignition Computing)
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Maxim Pisarenco (ASML)
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Jan Willem van de Meent (UvA, Amsterdam Machine Learning Lab)
This is a unique opportunity to connect with researchers, engineers, and innovators in the SciML field. Stay tuned for registration details — seats are limited, so don’t miss out!
Organized by: Computational Science NL, in collaboration with the 4TU.AMI SRI and the national initiative “AI and Mathematics” (AIM).
