Prof. Dr. Martin Schrimpf

Martin is a tenure-track assistant professor at EPFL where he aims to understand the brain in computational terms. To achieve this goal, he bridges research in Machine Learning, Neuroscience, and Cognitive Science. He initiated the community-wide Brain-Score platform for evaluating models on their neural and behavioral alignment, and built state-of-the-art models such as CORnet, VOneNet, and TopoLM. Martin completed his PhD at MIT with Jim DiCarlo, following Bachelor's and Master's degrees in computer science at TUM, LMU, and UNA. Previously he worked at Harvard, MetaMind/Salesforce, Oracle, and co-founded two startups. Martin is actively advancing NeuroAI into translational technologies as a scientific advisor to startups. Among others, his work has been recognized in the news at Science magazine, BBC, Quanta, and Scientific American; and with awards such as the Neuro-Irv and Helga Cooper Open Science Prize, the Google.org Impact Challenge prize, and the Takeda fellowship in AI + Health.