Finn Rietz
Ph.D. Student at WASP – Wallenberg AI, Autonomous Systems and Software Program
Örebro, Sweden
Summary
👤
Senior🎓
Top SchoolFinn Rietz is a Ph.D. candidate in Computer Science and AI based in Örebro, Sweden, with nine years of experience bridging industry and academia in deep learning, reinforcement learning, and robotics. He holds an MS with highest honors from the University of Hamburg and has combined roles at WASP and Örebro University with applied research stints at King and earlier software engineering at OTTO. Finn’s work blends theoretical rigor—evidenced by training like the Gaussian Process Summer School—with practical ML research deployed in commercial settings. He has a strong human–computer interaction background from his BSc, which informs a user-centered approach to robotic learning systems. Known for moving between hands-on engineering and scholarly research, he expects to complete his PhD in Summer 2026.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Computer Science, Highest honors, Master of Science - MS, Computer Science, Highest honors at University of HamburgGaussian Process Summer School, Gaussian Process Summer School at The University of Sheffield
Github Skills (18)
pepper10
wizard9
flask8
simulation7
robotics7
robot7
mujoco6
pybullet5
robotics-simulation5
reinforcement-learning5
reinforcement-learning-environments5
gymnasium5
liquid4
python4
ros4
Programming languages (3)
Github contributions (5)
frietz58/frietz58.github.io
Sep 2019 - Jan 2024
Finn Rietz personal website
Contributions:12 PRs, 116 pushes, 14 branches in 4 years 4 months
reactfinnliquidjekyll-blognextjs
frietz58/WoZ4U
Oct 2020 - Jul 2021
Pepper control interface for "Wizard of Oz" like experiments.
Contributions:21 commits, 2 PRs, 68 pushes in 8 months
wizardwizard-of-ozpeppercontrol-interfaceflask
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