My research is situated at the interface of mathematical physics, statistical physics, and random graph theory. I am particularly interested in interdisciplinary challenges that require the development of novel mathematical tools, with applications ranging from complex materials to biological neural networks.

I obtained a double Master's degree in Physics and Mathematics from the University of Groningen in 2025, where I studied the metastability of attractor neural networks. I am currently a PhD candidate at the Mathematical Institute, working under the supervision of Ivan Kryven. My current work focuses on developing theories for understanding and predicting properties of geometric networks, with applications for network-structured materials.