Sebastian Bordt

Graduate Student, University of Tübingen

Sebastian is a third year PhD student at the University of Tübingen. He is broadly interested in the theoretical foundations of machine learning and the impact of machine learning on society. His current research is concerned with the interpretability of learned functions and the potential of interpretable machine learning to enhance human-machine decision making.

Previously, Sebastian completed Master's degrees in mathematics and economics.

Program Visits

Summer Cluster: Interpretable Machine Learning, Summer 2022, Visiting Graduate Student