I'm a first year PhD student at the University of Oxford working with Michael Bronstein, Max Welling and Bernd Ensing. My research focusses on geometric deep learning and generative models for applications in computational and biochemistry.
Before starting my PhD I obtained a masters degree from the University of Amsterdam under the supervision of Max Welling and Yarin Gal as part of the ELLIS MSc program. Prior to this, I worked as student research at Porsche and obtained my bachelors degree in computer science from the University of Groningen. At the time my research primarily focussed on robust and interpretably machine learning.
 S. Saralajew*, L. Holdijk*, T. Villmann. Fast Adversarial Robustness Certification of Nearest Prototype Classifiers for Arbitrary Seminorms. Advances in Neural Information Processing Systems (NeurIPS'20).
 S. Saralajew*, L. Holdijk*, E. Asan, M. Rees, T. Villmann*. Classification-by-Components: Probabilistic Modeling of Reasoning over a Set of Components. Advances in Neural Information Processing Systems (NeurIPS'19).
(*: denotes equal contribution)