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Martin Schrimpf is a researcher at the École Polytechnique Fédérale de Lausanne (EPFL) focusing on NeuroAI, computational neuroscience, and artificial intelligence. He completed his PhD in Brain and Cognitive Sciences at MIT, working under the guidance of Jim DiCarlo and collaborating with Ev Fedorenko and Josh Tenenbaum. His research merges deep learning approaches with neuroscience to uncover the neural mechanisms of natural intelligence, particularly in vision and language processing. Schrimpf's work is well-recognized and has been published in prominent journals such as PNAS, Neuron, and Nature Human Behaviour, as well as in leading machine learning conferences including NeurIPS and ICLR. He has received several prestigious awards, including the Schmidt Foundation AI2050 Fellowship and the Neuro-Irv Helga Cooper Open Science Prize. Additionally, he has co-founded startups and is currently advising others in neurotechnology and biotechnologies, contributing to the vibrant startup ecosystem in the Lake Geneva region.
École Polytechnique Fédérale de Lausanne (EPFL) • Lausanne, Switzerland
Focuses on computational models of neural mechanisms related to vision and language.
Standard requirements for Engineering and Basic Science Master's programs. Architecture requires an additional portfolio.