Andreas Geist
Postdoctoral Researcher at University of Tuebingen
Stuttgart, Baden-Württemberg, Germany
Summary
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Senior🎓
Top SchoolAndreas Geist is a postdoctoral researcher with 11 years of experience at the intersection of robotics, physics-informed machine learning, and control for unstable physical systems and robot swarms. Trained in theoretical mechanical engineering, he has progressed from hands-on design and vehicle-control research to PhD work at the Max Planck Institute on structured learning for dynamics, and recent postdoc roles applying physics-informed neural ODEs and FEM-augmented models. His work blends principled mechanics with data-driven simulation—making models that respect physical constraints while improving control and learning in real-world robots. Based in Stuttgart and affiliated with the AI Center at the University of Tübingen, he pairs deep theoretical expertise with practical system design, from marine robots and formula-student steering systems to large-scale distributed learning for swarms. An uncommon thread in his profile is consistent cross-disciplinary collaboration, spanning academic labs and engineering teams to bring simulation-informed algorithms into physical systems.
11 years of coding experience
3 years of employment as a software developer
Master of Science (M.Sc.), Theoretical Mechanical Engineering, Master of Science (M.Sc.), Theoretical Mechanical Engineering at Hamburg University of Technology
German, English
Github Skills (1)
robotics3
Programming languages (1)
Github contributions (5)
AndReGeist/gp_squared
Apr 2020 - Jul 2022
Contributions:7 commits, 1 push in 2 years 2 months
martius-lab/hitchhiking-rotations
Apr 2024 - Jan 2025
Code for ICML 2024: Learning with 3D rotations, a hitchhiker’s guide to SO(3)
Contributions:2 reviews, 5 PRs, 16 pushes in 9 months
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