Fabian Gröger
Scientific Collaborator
Kriens, Lucerne, Switzerland
Summary
👤
Senior🎓
Top SchoolFabian Gröger is a biomedical engineering PhD student at the University of Basel and a Scientific Collaborator at Lucerne University of Applied Sciences with a decade of experience blending research and applied engineering. He pairs a strong academic foundation in data science, machine learning, AI and computer vision with hands-on roles as a data scientist and full-stack engineer, bridging prototyping and production. His background includes robotic process automation and applied research, reflecting a pragmatic approach to automating complex workflows and extracting value from biomedical data. Fabian consistently moves between industry and academia—contributing to applied projects at Jaywalker Digital while supervising research and development at HSLU—so he understands both product timelines and rigorous experimental design. Notably, his bachelor thesis on deep embedded music earned top marks, signaling an ability to deliver high-quality, creative technical solutions. Based in Lucerne, he brings a multidisciplinary toolkit for turning ML and vision research into deployable systems.
10 years of coding experience
4 years of employment as a software developer
Master of Science in Engineering (MSE), Data Science / Machine Learning, Master of Science in Engineering (MSE), Data Science / Machine Learning at Hochschule LuzernInformatiker EFZ, Applikationsentwicklung, Informatiker EFZ, Applikationsentwicklung at Bénédict International Education GroupBerufsmaturität, Technik, Architektur und Life Sciences, Berufsmaturität, Technik, Architektur und Life Sciences at Minerva SchulenDoctor of Philosophy - PhD, Biomedical Engineering, Doctor of Philosophy - PhD, Biomedical Engineering at University of BaselBachelor of Science (BSc), Computer Science with a major in Artificial Intelligence and Computer Vision, Bachelor thesis, Deep Embedded Music (Grade 6.0, highest grade), Bachelor of Science (BSc), Computer Science with a major in Artificial Intelligence and Computer Vision, Bachelor thesis, Deep Embedded Music (Grade 6.0, highest grade) at Lucerne University of Applied Sciences and Arts
English, German
Stackoverflow
650reputation
47kreached
12answers
4questions
Github Skills (84)
pytorch10
cnn-architecture10
architecture9
user-guide9
panorama-viewer9
python9
windows9
deep-learning9
ios9
desktop9
machine-learning9
data-science9
cross-platform9
tensorflow9
android9
Programming languages (9)
Github contributions (5)
Digital-Dermatology/SelfClean
Mar 2024 - Mar 2025
🧼🔎 A holistic self-supervised data cleaning strategy to detect irrelevant samples, near duplicates and label errors (NeurIPS'24).
Contributions:1 review, 7 PRs, 53 pushes in 11 months
data-centric-aidata-cleaningdata-curationdeep-learningmachine-learning
hslu-abiz/soundscape-generation
Jul 2021 - Nov 2021
Generate soundscapes based on images
Contributions:5 releases, 27 commits, 8 PRs in 4 months
soundscapes
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