Jonas Hübotter is a PhD student in the Learning and Adaptive Systems Group at ETH Zurich, advised by Andreas Krause. His research focuses on test-time training and reinforcement learning, with broader interests in probabilistic inference, optimization, and online learning. He received an MSc in Theoretical Computer Science and Machine Learning from ETH Zurich, where he was awarded the ETH Medal, and a BSc in Computer Science and Mathematics from the Technical University of Munich. His work has been published at NeurIPS, ICLR, ICML, and COLM.