Building at the intersection of curiosity and code.

I'm a PhD student at the Amsterdam Machine Learning Lab (AMLab), University of Amsterdam, supervised by Erik Bekkers and co-supervised by Efstratios Gavves. My research sits at the intersection of machine learning and geometry, developing data representations grounded in their inherent geometric structure, with an eye toward problems where it really matters, like medical imaging, molecular generation, robotics, and object-consistency in world models.

Lately I've also been drawn to sub-quadratic architectures and the question of memory in neural networks: how systems remember, forget, and compress. Beyond ML, I'm fascinated by neuroscience, intelligence, and life itself, the threads that tie computation, biology, and cognition together.