I am a postdoctoral researcher in applied mathematics at the TU Eindhoven in the Geometric Learning and Differential Geometry group of dr.ir. R. Duits. I have a keen interest in both abstract mathematics and its application to new techniques in machine learning and image processing.
In my research I try to bridge neural networks with classic mathematical ideas from geometry and analysis, such as in the PDE-based G-CNN paper. Implementations of techniques I have developed are available as an open source extension to the popular PyTorch deep learning framework, named LieTorch.
PhD in Applied Mathematics, 2024
TU Eindhoven
MSc in Applied Mathematics, 2019
TU Eindhoven
BSc in Applied Mathematics, 2017
TU Eindhoven
Convolutional neural networks have found wide adoption and great success in image processing yet have drawbacks such as needing huge …