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Martin Schrimpf's research focuses on computational understanding of the neural mechanisms underlying natural intelligence, vision, and language. His work bridges Deep Learning, Neuroscience, and Cognitive Science, aiming to build artificial neural network models that match the brain's neural representations and processes aligned with human behavioral outputs. He has co-founded startups and has an extensive background in computational neuroscience and machine learning. Martin's contributions have been recognized with numerous awards, including the Schmidt Foundation AI2050 Fellowship and the Neuro-Irv Helga Cooper Open Science Prize. He emphasizes the importance of applying innovative research to real-world applications, advising startups in the neurotech and biotech spaces, and has been involved in high-impact projects in collaboration with leading institutions.
NeuroAI Lab • Lausanne, Switzerland
Founded a research lab focusing on NeuroAI and its applications.
Integreat • Germany
Co-founded a startup focused on helping newcomers integrate into urban environments.
Standard requirements for Engineering and Basic Science Master's programs. Architecture requires an additional portfolio.