Originally from Hamburg, Germany, Julius studied Mathematics (MSci) at Imperial College London and Artificial Intelligence (MSc) at UPC Barcelona and TU Delft.
He joined the Cambridge-Tübingen programme in October 2018 where he is supervised by Adrian Weller in Cambridge and Bernhard Schölkopf at the Max Planck Institute for Intelligent Systems in Tübingen. He is funded by a Cambridge-Tübingen PhD fellowship with generous support from Amazon.
His research interest include causal inference and its applications to machine learning (e.g., for transfer and reinforcement learning, fairness, and interpretability).
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS), 89, pages: 1361-1369, (Editors: Kamalika Chaudhuri and Masashi Sugiyama), PMLR, April 2019 (conference)
Our goal is to understand the principles of Perception, Action and Learning in autonomous systems that successfully interact with complex environments and to use this understanding to design future systems