Martin Schrimpf
Assistant Professor at EPFL (École polytechnique fédérale de Lausanne)
Lausanne, Vaud, Switzerland
Summary
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Senior🎓
Top SchoolMartin Schrimpf is a tenure-track Assistant Professor at EPFL leading NeuroAI research that bridges machine learning and primate neuroscience to model the mechanisms of visual intelligence. With a PhD from MIT and prior research-scientist work at MIT Quest, he built the widely used Brain-Score benchmarking platform and develops models that better match neuroanatomy, are more V1-like and robust, and require far fewer supervised updates. His background spans startups and industry R&D—from founding civic-tech and document-management ventures to deep-learning roles at Salesforce and engineering positions at Siemens and Oracle—giving him rare breadth across applied systems and fundamental science. He actively collaborates with experimentalists to predict causal effects of neural perturbations and now focuses on temporal processing and challenging downstream tasks for next-generation primate-aligned models.
12 years of coding experience
10 years of employment as a software developer
Master's Degree (Elite Graduate Program) Software Engineering, Master's Degree (Elite Graduate Program) Software Engineering at Technische Universität München, Ludwig-Maximilians-Universität München, Universität AugsburgBachelor of Science (BS) Wirtschaftsinformatik (Business Informatics / Information Systems), Bachelor of Science (BS) Wirtschaftsinformatik (Business Informatics / Information Systems) at Technical University of MunichDoctor of Philosophy - PhD Brain and Cognitive Sciences & Machine Learning, Doctor of Philosophy - PhD Brain and Cognitive Sciences & Machine Learning at Massachusetts Institute of TechnologyThe University of SydneyTerm abroad Computer Science and Business (Study abroad), Term abroad Computer Science and Business (Study abroad) at Auckland University of Technology
Japanese, French, English, German
Stackoverflow
51reputation
663reached
0answers
2questions
Github Skills (116)
computational-neuroscience10
python10
datasets10
deep-learning10
netcdf10
multilingual10
candidate10
architecture10
wordpress10
pandas10
electrophysiology10
human-language10
linear-models10
nlp10
object-recognition10
Programming languages (7)
Github contributions (5)
brain-score/vision
Mar 2018 - Jan 2023
A framework for evaluating models on their alignment to brain and behavioral measurements (50+ benchmarks)
Contributions:4 releases, 291 reviews, 447 commits in 4 years 11 months
braindeep-learningmeasurementsmachine-learningalignment
brain-score/brain-score.web
Dec 2019 - Feb 2025
Contributions:106 reviews, 162 PRs, 248 pushes in 5 years 3 months
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