Where machine learning meets the sciences: a satellite meeting of the Swedish e-Science Academy 2026.
Machine learning is changing how science is done: how experiments are designed, how models are built from data, and how hypotheses are generated and tested. This workshop brings together the people who develop these methods and the people who put them to work on scientific problems, from cells and tissues to materials and physical systems. Over an afternoon and a morning in Uppsala, invited talks and open discussion explore what AI can offer science, where the methods still fall short, and how collaboration across disciplines can move both forward.
Room Ång/2001, Ångströmlaboratoriet
Room Ång/11137, Ångströmlaboratoriet
Professor of Physics, University of Gothenburg · Thu 13:05
Leads the Soft Matter Lab, working on active matter, optical tweezers and deep learning for microscopy.
Associate Professor, Uppsala University · Thu 14:00
Physics-informed machine learning and applications of machine learning in physics, Division of Systems and Control.
Assistant Professor in Machine Learning, Uppsala University · Thu 15:15
Leads the AI and Mathematics for Oncology (AIMOn) group, developing mathematical and statistical methods to understand and predict cancer dynamics.
Associate Professor in Machine Learning, KTH · Fri 09:00
Deep learning, generative and discriminative, with applications in the life and physical sciences.
Senior Researcher, RISE · Fri 09:40
AI methods that integrate data with physics and geometry, applied to materials, chemistry, batteries and fluid simulation.
Professor of Machine Learning, Linköping University · Fri 10:40
Generative and probabilistic models for complex data, from weather forecasting to materials discovery.
Assistant Professor, KTH and SciLifeLab Fellow · Fri 11:20
AI for Quantitative Biology: Learning from Images, Morphology, and Spatial Context.