Sebastian Buschjäger
Senior Researcher at Lamarr-Institut
Bochum, North Rhine-Westphalia, Germany
Summary
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Top SchoolSebastian Buschjäger is a senior researcher and resource-aware machine learning specialist with eight years of experience bridging academic research and practical deployment for constrained devices. He leads cross-site efforts at the Lamarr Institute, coordinating projects, supervising students, and acting as AI lead for the ZOOM-IN initiative while shaping competitive grant proposals. His PhD (summa cum laude) focused on ensemble learning with discrete classifiers for small devices, and his toolset spans Python, C/C++, VHDL and multi-site GPU cluster orchestration. Since 2023 he has applied these skills to improving sleep-stage tagging for clinical use, with an eye toward translation to wearables. Known for turning theoretical methods into working embedded implementations, he combines rigorous research with hands-on system building and industry-facing workshops. Outside work he plays badminton, started learning drums during lockdown, and curates a visually designed banner created with recraft.ai.
7 years of coding experience
Doktor (rer. nat.) Informatik, Doktor (rer. nat.) Informatik at TU Dortmund UniversityAbitur, Abitur at Gesamtschule Fröndenberg
Github Skills (117)
parallel10
ray10
optimization10
reinforcement-learning10
llm-inference9
latex9
python9
metadata9
deep-learning9
hyperparameter-optimization9
automl9
pytorch9
scaling9
llm9
large-language-models9
Programming languages (6)
Github contributions (5)
sbuschjaeger/SubmodularStreamingMaximization
Nov 2020 - Jul 2021
A C++ package for streaming submodular function maximization with Python bindings
Contributions:2 commits, 1 PR, 24 pushes in 7 months
pythonpython-bindingsmaximizationstreamingsubmodular
sbuschjaeger/fastinference
Nov 2021 - Feb 2022
Contributions:1 review, 2 commits, 2 PRs in 3 months
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