Robin Deuber
Postdoctoral Researcher Bosch Lab at ETH Zürich
Zürich Metropolitan Area Switzerland
Summary
👤
Senior🎓
Top SchoolRobin Deuber is a postdoctoral researcher and applied ML engineer specializing in driver health and state detection using in-vehicle sensor data, with nine years of experience bridging robotics, control, and AIoT. Based at ETH Zürich and leading AI work in HCI and robotics projects, he combines deep academic training (PhD, dual master's) with hands-on product and internships in robotics, energy systems, and ADAS. His research at the Bosch Lab—supported by a visiting stint at Stanford and affiliation with the ETH AI Center—focuses on turning sensor-driven models into deployable assistance for connected cars. Notably, he brings practical systems experience from autonomous racing and robotics teams, which informs robust, real-world ML solutions beyond lab benchmarks.
9 years of coding experience
1 year of employment as a software developer
Doctor of Science - PhD, Doctor of Science - PhD at ETH ZürichVisiting Researcher, Visiting Researcher at Stanford University
Github Skills (11)
desktop-application9
linux8
windows7
macos7
kotlin5
python4
feature-engineering4
ros4
machine-learning3
navigationstack3
image-processing1
Programming languages (5)
Github contributions (5)
im-ethz/CHI-2023-paper-Leveraging-driver-vehicle-and-environment-interaction
Oct 2023 - Mar 2026
Feature Engineering and Machine Learning from Gaze Behavior and Head Movements to Detect Drunk Driving
Contributions:2 PRs, 2 pushes, 1 branch in 2 years 5 months
feature-engineeringmachine-learning
kiwicampus/kiwi_navigation_stack
Sep 2019 - Dec 2019
ROS Navigation stack. Code for finding where the robot is and how it can get somewhere else.
Contributions:24 commits, 4 PRs, 23 pushes in 2 months
navigationstackros
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