Research Fellow, Academic Course Organizer at Science of Intelligence
Berlin, Germany
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Summary
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David Mezey is a research-focused creative technologist with eight years of experience at the intersection of computational neuroscience, prototyping, and teaching. Currently a Research Fellow and course organizer at Technische Universität Berlin and doctoral researcher in the Science of Intelligence cluster, he builds and teaches agent-based models and translates computational work into spatial augmented reality. His background spans ultrafast 3D two-photon microscopy research to prototype development in industry, giving him uncommon fluency in both experimental neurotech and software-driven prototyping. David combines rigorous academic training (MSc in Computational Neuroscience) with hands-on systems building, often turning abstract principles of intelligence into tangible, teachable artifacts. Based in Berlin, he is known for designing engaging master-level courses that bridge theory, code, and physical interaction.
8 years of coding experience
3 years of employment as a software developer
Master's degree, Computational Neuroscience, 1.08 (Excellent), Master's degree, Computational Neuroscience, 1.08 (Excellent) at Bernstein Center for Computational Neuroscience, Berlin
Bachelor’s Degree, Molecular Bionics Engineering, Excellent, Bachelor’s Degree, Molecular Bionics Engineering, Excellent at Pázmány Péter Katolikus Egyetem
Implementation of a minimal vision algorithm published by Bastien & Romanczuk (2020) on a Raspberry PI for movement control of Thymio II robots.
Contributions:7 releases, 1 review, 50 PRs in 3 years 6 months
raspberry-pivisionraspberrythymiopublished
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David Mezey - Research Fellow, Academic Course Organizer at Science of Intelligence