Summary
Manuel Brenner is a research group lead and machine learning researcher with five years of experience applying dynamical-systems methods to neuroscience and psychiatry. Trained as a physicist (PhD, Heidelberg) and transitioning from postdoctoral roles at the Interdisciplinary Centre for Scientific Computing and AI Health Innovation Cluster, he will co-head a DYNAMIC consortium group at the Ernst Strüngmann Institute and Goethe University Frankfurt. His work couples ML with multimodal clinical data to model brain–behaviour dynamics, aiming for mechanistic insights relevant to psychiatric care. Beyond the lab he communicates science broadly—publishing 80+ Medium articles and hosting the Transformative Ideas Podcast—which signals an uncommon blend of technical depth and public engagement. Colleagues can expect a leader who combines theoretical rigor from mathematical physics with practical, interdisciplinary collaboration across research and clinical domains.
6 years of coding experience