I am an M.Sc. student in Machine Learning at the University of Tübingen. I am interested in developing reliable machine learning methods that are interpretable and socially responsible. My current work explores approaches at the intersection of kernel methods and model debiasing, with broader interests in AI fairness. In prior work, I studied fairness in self-supervised settings. This led to our paper “FairSSL: Fair Multimodal Self-Supervised Learning,” which was accepted to the main proceedings of ICML 2026.
© Abtin Mogharabin