Mathias Gehrig
Autonomy Engineer - Deep Learning at Skydio
Zurich, Zurich, Switzerland
Summary
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Rockstar🎓
Top SchoolMathias Gehrig is an autonomy engineer specializing in deep learning with a decade of experience bridging academic research and applied robotics. After completing advanced studies in robotics and mechatronics at ETH Zurich, he spent six years as a PhD candidate at the Robotics and Perception Group in Zurich, developing perception and autonomy methods now being applied at Skydio. His background spans research engineering, teaching, and industry internships, giving him a pragmatic yet rigorous approach to building robust autonomous systems. Known for translating cutting-edge research into deployable solutions, he combines strong foundations in control and perception with hands-on experience in real-world robotic platforms. Based in Zurich, he brings both theoretical depth and product-focused execution to autonomy challenges.
10 years of coding experience
1 year of employment as a software developer
Msc. Robotics, Systems and Control, Msc. Robotics, Systems and Control at Eidgenössische Technische Hochschule ZürichMaturität, Schwerpunkt: Physik und Mathematik, Maturität, Schwerpunkt: Physik und Mathematik at Kantonsschule Wettingen
Stackoverflow
1reputation
0reached
0answers
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Github Skills (98)
unreal-engine-410
python10
simulator10
deep-learning10
ros10
autonomous-driving10
recycling10
pretrain10
camera10
ai10
computer-vision10
deep-reinforcement-learning10
spiking-neural-networks10
carla10
artificial-intelligence10
Programming languages (5)
Github contributions (5)
uzh-rpg/rpg_vid2e
Mar 2020 - Apr 2022
Open source implementation of CVPR 2020 "Video to Events: Recycling Video Dataset for Event Cameras"
Contributions:4 reviews, 20 commits, 3 PRs in 2 years
eventscvpr-2020datasetrecyclingvideo
magehrig/turtlebot_mapping
Oct 2015 - Feb 2016
Contributions:169 pushes, 41 branches, 31 comments in 3 months
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