Patrik Reizinger
Doctoral Researcher at International Max Planck Research School for Intelligent Systems (IMPRS-IS)
Tübingen, Baden-Württemberg, Germany
Summary
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Senior🎓
Top SchoolPatrik Reizinger is a doctoral researcher in machine learning at IMPRS-IS and ELLIS focused on when and why deep learning models recover causal structure and generalize under distribution shift. With nine years of interdisciplinary experience spanning control engineering, embedded systems, and deep learning research, he combines theoretical work in causal representation learning with hands-on tooling to accelerate experiments. He has held visiting roles at Cambridge, Vector Institute, and Mila, and brings practical systems experience from CubeSat ADCS development to FPGA and API projects. Patrik’s work bridges rigorous PhD-level inquiry and pragmatic research engineering, making him adept at turning causal ML hypotheses into reproducible code and experiments. He’s based in Tübingen and often invites collaboration from researchers building tooling or studying distributional robustness.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Electrical and Electronics Engineering, Master of Science - MS, Electrical and Electronics Engineering at Karlsruhe Institute of Technology (KIT)Doctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at European Laboratory for Learning and Intelligent Systems (ELLIS)Doctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at University of TübingenMaster of Science - MS, Electrical and Electronics Engineering, Master of Science - MS, Electrical and Electronics Engineering at Budapest University of Technology and EconomicsLeadership Academy, Leadership Academy at Mathias Corvinus Collegium - MCCRévai Miklós Secondary Grammar School
Hungarian, German, English
Github Skills (76)
python10
deep-learning10
variational-autoencoder10
variance10
ai10
wandb10
mechanism10
lightning10
artificial-intelligence10
log-likelihood10
cost-management10
decoder10
pytorch10
lifecycle10
machine-learning10
Programming languages (6)
Github contributions (5)
rpatrik96/rpatrik96.github.io
Jul 2021 - Feb 2025
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:191 pushes in 3 years 7 months
templategithub-pages-templatemmistakesmistakesjekyll
rpatrik96/AttA2C
Mar 2019 - Nov 2019
Contributions:88 commits, 12 pushes in 8 months
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