# Biography

I am a PhD student in applied mathematics at the TU Eindhoven under the supervision of dr.ir. R. Duits. I am currently working on mathematical models related to geometric machine learning.

### Interests

• Differential Geometry
• Mathematical Image Analysis
• Probability Theory
• Machine Learning
• Applied Analysis
• Motorsport
• History

### Education

• MSc in Applied Mathematics, 2019

TU Eindhoven

• BSc in Applied Mathematics, 2017

TU Eindhoven

# Recent & Upcoming Talks

### PDE-based CNNs with Morphological Convolutions

Convolutional neural networks have found wide adoption and great success in image processing yet have drawbacks such as needing huge …

# Recent Publications

### PDE-based Group Equivariant Convolutional Neural Networks

We present a PDE-based framework that generalizes Group equivariant Convolutional Neural Networks (G-CNNs). In this framework, a …

### Total Variation and Mean Curvature PDEs on the Homogeneous Space of Positions and Orientations (JMIV)

Two key ideas have greatly improved techniques for image enhancement and denoising: the lifting of image data to multi-orientation …

### Total Variation and Mean Curvature PDEs on $\mathbb{R}^d \rtimes S^{d−1}$ (SSVM)

Total variation regularization and total variation flows (TVF) have been widely applied for image enhancement and denoising. To include …