Martin Schrimpf

Expertise NeuroAI, computational neuroscience, computer vision, natural language processing, human alignment, startups [CV] Mission Modeling the brain: Martin's research focuses on a computational understanding of the neural mechanisms underlying natural intelligence in vision and language. To achieve this goal, he bridges Deep Learning, Neuroscience, and Cognitive Science, building artificial neural network models that match the brain’s neural representations in their internal processing and are aligned to human behavior in their outputs.  Please see the NeuroAI Lab website for details on the lab, publications, applying, and more.Startups: I am excited about translating cutting-edge research into real-world applications. In the past I founded a startup for the digitization of documents (exit), worked at Promonde in Dubai on digital navigation, co-founded Integreat (now used in 1/6th of cities in Germany to help newcomers), and worked at MetaMind on deep learning in natural language processing (now part of Salesforce). The lake Geneva region is a fantastic emerging place for startups especially in the neurotech and biotech space. Early-stage funding and access to talent here are unparalleled. I am currently advising Dandelion and Neurosoft. Martin completed his PhD at the MIT Brain and Cognitive Sciences department advised by Jim DiCarlo with collaborations with Ev Fedorenko and Josh Tenenbaum, following Bachelor's and Master's degrees in computer science at TUM, LMU, and UNA. His previous work includes research in human-like vision at Harvard with Gabriel Kreiman, natural language processing reinforcement learning at Salesforce with Richard Socher, as well as several other projects in industry. Martin also co-founded two startups. Among others, his work has been recognized in the news at Science magazine, MIT News, and Scientific American.Martin's work has been published at top journals including PNAS, Neuron, and Nature Human Behavior as well as leading machine learning venues such as NeurIPS and ICLR where his papers are routinely selected for Oral and Spotlight presentations (