Guillermo Gallego is an Associate Professor in Berlin with 11 years of research and engineering experience at the intersection of computer vision, robotics, and neuromorphic sensing. He has a strong academic pedigree (Ph.D. from Georgia Tech) and a track record of advancing event-based vision and autonomous navigation from postdoctoral work at ETH/UZH to his current faculty role. His contributions span both theory and systems: developing variational multi-view methods, building onboard perception for ground and micro-air robots, and practical ROS integrations for event cameras (notably improvements to the davis_ros_driver). Colleagues value him for blending rigorous mathematical foundations with hands-on sensor and embedded systems engineering, making algorithms that work on real hardware. Based in Berlin, he combines deep academic insight with proven open-source impact in event-based vision tooling.
11 years of coding experience
14 years of employment as a software developer
Ph.D., Electrical and Computer Engineering, Ph.D., Electrical and Computer Engineering at Georgia Institute of Technology
Magister, Mathematical Engineering, Magister, Mathematical Engineering at Universidad Complutense de Madrid
Ingeniero, Telecomunicación (5-year program), Ingeniero, Telecomunicación (5-year program) at Universidad Politécnica de Madrid
Contributions:26 commits, 21 PRs, 15 pushes in 4 years 7 months
Contributions summary:Guillermo primarily worked on the `davis_ros_driver` package, making modifications to interface with the DAVIS sensor. These changes included adjusting IMU data alignment and unit conversions, fixing a bug related to no events in the renderer, and removing a switch for a specific sensor model. The commits indicate a focus on sensor data processing and integration within the ROS environment. The user also added license information to several files.
Contributions:33 commits, 6 PRs, 20 pushes in 3 years 8 months
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