Dr. Klaus Müller

Biography

Klaus-Robert Müller is a professor at the Technical University of Berlin, where he leads the Machine Learning Group. His research concentrates on methodological and theoretical advances in machine learning, with particular emphasis on explainable AI, probabilistic machine learning, and multimodal learning approaches. Müller has made significant contributions to various application domains including quantum chemistry, digital pathology, and biomedical sensing. His work seeks to enhance understanding and implementation of machine learning algorithms in complex environments, pushing the boundaries of traditional methodologies. He is actively engaged in interdisciplinary collaborations that bridge machine learning with fields such as physics and chemistry, thereby facilitating innovative applications and solutions in these areas. His recent publications include findings on machine-learned force fields and AI-based anomaly detection for clinical diagnostics, highlighting the practical impacts of his research in real-world scenarios.

Research Interests