Stefan Bauer

Prof. Stefan Bauer is an Associate Professor at TU Munich and a senior PI at Helmholtz AI. He holds a Ph.D. in Computer Science from ETH Zurich (2018), where he received the ETH Medal for his thesis on causal learning. His research focuses on developing algorithms that uncover causal relationships in high-dimensional data, enabling explainable AI and robust, transformative technologies. Bauer previously worked as an Assistant Professor at KTH Stockholm and a Group Leader at the Max Planck Institute for Intelligent Systems.

Educational Background

• Ph.D. in Computer Science, ETH Zurich (2018)
• M.Sc. Mathematics, ETH Zurich
• B.Sc. Economics and Finance, University of London

Research Interests

Bauer’s work bridges causal inference, machine learning, and robotics. Key themes include causal representation learning for AI transparency, scalable algorithms for complex systems, and applications in robotics, materials science, and biomedical research. His team emphasizes real-world validation, such as deploying dexterous manipulation robots and discovering novel high-entropy alloys via machine learning.

Awards and Contributions

• CIFAR Azrieli Global Scholar (2020)
• Best Paper Award at ICML (2019)
• ETH Medal for Outstanding Dissertation (2018)

Advancing AI and Robotics

Bauer leads projects like the Real Robot Challenge, a cloud-based platform for reproducible robotics research. He also collaborates on biomedical applications, such as bias detection in medical imaging and robustness testing for foundation models in healthcare.

Labs and Collaborations

His lab at TU Munich integrates interdisciplinary teams working on causal AI, robotics, and materials discovery. Bauer collaborates with Helmholtz AI, KTH, and institutions globally to advance AI’s societal impact.