Received a VENI from NWO TTW (2020) to work on Machine learning-based prediction of abdominal aortic aneurysm growth and rupture. Published multiple papers, such as 'Spatio-temporal artery analysis using geometric deep learning' and 'Steerable Anatomical Shape Synthesis with Implicit Neural Representations'.
Research Experience
Postdoc positions at the quantitative image analysis group at UMC Utrecht and Amsterdam UMC. Started as an assistant professor in the Mathematics of Imaging & AI (MIA) group at Twente in March 2020.
Education
Obtained his PhD in 2017 from Utrecht University (UMC Utrecht) with a thesis entitled 'Machine learning based analysis of cardiovascular images.'
Background
Research interests include machine learning for medical image analysis, particularly generative models and geometric deep learning approaches.