Martin Schrimpf is assistant professor at École Polytechnique Fédérale de Lausanne’s Neuro-X Institute, where he aims to understand the brain in computational terms. 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 he has built state-of-the-art models such as CORnet, VOneNet, and TopoLM.
Schrimpf completed his Ph.D. at the Massachusetts Institute of Technology with Jim DiCarlo, following B.S. and M.S.’s in computer science at the Technical University of Munich, the Ludwig Maximilian University of Munich and the University of Augsburg.
Previously, he worked at Harvard University, MetaMind/Salesforce and Oracle, and co-founded two startups. He is actively advancing NeuroAI into translational technologies as a scientific adviser to startups. His work has been recognized in Science, the BBC, Quanta Magazine and Scientific American, among other publications; 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.
