Laboratory for Mental Health Mapping

At the Laboratory for Mental Health Mapping (PI: Prof. Dr. Thomas Wolfers - Carl Zeiss Professor for AI in Neural Systems Imaging), our mission is to make a meaningful difference for people facing complex health challenges. Each individual’s life trajectory arises from a dynamic interplay of biological, social, societal, and environmental factors. To capture this complexity, we integrate large-scale, multimodal datasets with advanced machine-learning methods to map developmental patterns and disease processes. We collaborate closely with patients, clinicians, and interdisciplinary research partners to bridge clinical practice with foundational work in neuroscience and machine learning with the ultimate goal of translating insights into clinical impact.

Research into (Mental) Health Mapping is inherently interdisciplinary. It sits at the intersection of psychology, neuroscience, data science, AI, philosophy of science, and clinical research. Reflecting this breadth, our work has appeared in leading machine-learning and artificial-intelligence conferences (e.g., AAAI), top medical-ML venues (e.g., MICCAI), major medical and psychiatry journals (e.g., JAMA Psychiatry), high-impact general-science journals (e.g., the Nature family), respected philosophy outlets (e.g., Synthese), and core neuroscience journals (e.g., eLife).

For more information, please visit: https://mhm-lab.github.ioExternal link