Marc-André Schulz

Marc-André Schulz is a Group Leader in the Department of Machine Learning at the Hertie Institute for AI in Brain Health, University of Tübingen. With a background in physics and machine learning, his work centers on advancing machine learning methodologies for personalized psychiatry, emphasizing their constraints and clinical translation potential.

• Education: PhD in Machine Learning (Technische Universität Berlin), B.Sc. in Physics (RWTH Aachen University)
• Prior Roles: PostDoc at Charité - Universitätsmedizin Berlin, Academic Fellow at QuantumBlack/McKinsey, and PhD student at RWTH Aachen University

Research Focus: Schulz investigates the limitations and applicability of machine learning techniques in clinical settings, particularly for psychiatric disorders. His work bridges computational methods with real-world medical challenges.

Labs/Teams: Affiliated with the Precision Brain Science and Translational Barriers research groups, Schulz collaborates on interdisciplinary projects at the intersection of AI and neuroscience.