David Mezey
Machine Learning Engineer at Merantix Momentum
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolDavid 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
PhD, Collective Behavior and Swarm Robotics, PhD, Collective Behavior and Swarm Robotics at Humboldt-Universität zu BerlinMaster's degree, Computational Neuroscience, Master's degree, Computational Neuroscience at Bernstein Center for Computational Neuroscience, BerlinBachelor’s Degree, Molecular Bionics Engineering, Bachelor’s Degree, Molecular Bionics Engineering at Pázmány Péter Katolikus Egyetem
English, Hungarian, Italian, German
Github Skills (39)
robot10
flocking10
pygame10
modeling10
game-dev9
sdl9
simulator9
simulation9
python9
webots9
physics-engine9
robot-simulator9
robotics-simulation9
ros8
3d-engine8
Programming languages (5)
Github contributions (5)
scioip34/ABM
Nov 2021 - Mar 2023
Agent based model framework to simulate (1) collective foraging with visual private and social cues and (2) purely vision-based flocking
Contributions:1 release, 13 reviews, 878 commits in 1 year 4 months
flockingabmmodelingpython3pygame
mezdahun/VisualSwarm
Dec 2020 - Jun 2024
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-pi
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