Jonas Hübotter
PHD Student at ETH Zürich
Zurich, Zurich, Switzerland
Summary
🤩
Rockstar🎓
Top SchoolJonas Hübotter is a doctoral researcher and visiting researcher focused on applying foundation models to hard tasks via specialization and reinforcement learning, with broader expertise in probabilistic inference, optimization, and online learning. Based at ETH Zurich and currently visiting Stanford, he combines rigorous theoretical training (ETH MS, TUM BS) with practical ML engineering across industry roles from Bayesian optimization at Uncountable to time-series quant research at Citadel Securities. He has a track record of teaching and mentoring graduate courses in probabilistic AI and machine learning, and is an ETH Medal recipient. Jonas often bridges research and production: recent work emphasizes test-time training and reinforcement learning techniques that make large models more adaptable in deployment.
10 years of coding experience
3 years of employment as a software developer
High School Diploma, High School Diploma at Evangelisches Gymnasium HermannswerderBachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Technical University of MunichDoctor of Science, Doctor of Science at ETH Zürich
English, German
Github Skills (200)
cmd10
turbolinks10
parser10
material-components10
hot-reload10
windows10
authentication10
ruby10
media-player10
serverless10
msal10
vimeo10
calculator10
paypal10
markdown10
Programming languages (17)
Github contributions (5)
NativeGap/nativegap-rails
Jan 2018 - Jul 2018
Build native apps for all major platforms from your Rails applications
Contributions:12 releases, 20 commits, 2 PRs in 6 months
rails
jonhue/teaching-fpv-rev
Mar 2020 - Feb 2022
Functional Programming and Verification revision course
Contributions:77 commits, 14 PRs, 130 pushes in 1 year 11 months
functional-programming
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