I lead the Machine Learning for Physical Science group at Eindhoven University of Technology. Our research focuses on computational methods for accelerating scientific discovery across diverse scientific domains. We develop surrogate modelling methods and physically consistent data-driven simulation in fields such as material science, mechanical engineering and nuclear fusion. My core expertise is in the field of machine learning with focus on deep generative modelling and geometric deep learning. For a list of selected publications click here
PhD Students
- Simon Koop
- Koen Minartz
- Fleur Hendriks
- Marko Petković
- Bram van Bolderik
- Mahdi Mehmanchi
- Haotian Chen
- Kiet Bennema ten Binke
- Rachna Ramesh
- Mahefa Ravelonanosy (graduated) thesis
- Tita Ni’Mah (graduated) thesis
- Yoeri Poels (graduated) thesis
- Tianjin Huang (graduated) thesis
- Lu Yin (graduated) thesis
- Loek Tonnaer (graduated) thesis
- Stefan Thaler (graduated) thesis