Robin 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 Zürich
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