Fedor Scholz
Researcher at University of Stuttgart
Germany
Summary
👤
Senior🎓
Top SchoolFedor Scholz is a researcher with a decade of experience at the crossroads of machine learning, computer science, and cognitive science, currently based at the University of Stuttgart. During his PhD at the University of Tübingen and IMPRS-IS he developed ML methods for river discharge prediction and now focuses on applying deep generative models to improve geoscientific modeling and connect data-driven approaches with physical understanding. He combines practical software engineering experience from industry roles with rigorous academic training from KIT and Tübingen, enabling him to translate complex scientific problems into robust modeling solutions. Notably, his work blends cognitive-science-inspired perspectives on modeling with state-of-the-art deep learning, aiming to make physical system representations both more expressive and scientifically interpretable.
11 years of coding experience
5 years of employment as a software developer
Master of Science - MS Cognitive Science, Master of Science - MS Cognitive Science at University of TübingenMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Karlsruhe Institute of Technology (KIT)
German, English
Github Skills (29)
python6
ai5
deep-learning5
machine-learning5
data-science5
artificial-intelligence5
pytorch5
attention-model4
segmentation3
cpp3
q-learning3
logging3
experiment3
openvpn3
vim-plugin2
Programming languages (4)
Github contributions (5)
fedorsc/embodied_attention
Nov 2017 - Nov 2018
Attention models on robots
Contributions:94 pushes, 9 branches in 1 year
pytorchdeep-learningattention-modelsmachine-learningrobots
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