DPhil (PhD) Researcher, Kamnitsas Lab For AI In Medicine at University of Oxford
Oxford, England, United Kingdom
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Felix Wagner is a DPhil researcher at the University of Oxford with ten years of engineering experience, specializing in dependable computer vision for medical imaging including federated learning, parameter-efficient fine-tuning of foundation models, multi-modal systems, 3D segmentation and out-of-distribution detection. He builds end-to-end deep learning systems in Python/PyTorch and has published at NeurIPS, CVPR, MICCAI and AAAI, demonstrating both theoretical rigor and production-minded engineering. His background spans software engineering, databases and DevOps—experience that informs his focus on privacy-preserving, robust models that are deployable in real-world clinical settings. Felix is also curious beyond medicine, exploring vision-language models, symbolic AI and world models, and is committed to turning complex research into clean, maintainable software.
10 years of coding experience
2 years of employment as a software developer
Vienna University of Technology
Doctor of Philosophy - PhD Machine Learning, Doctor of Philosophy - PhD Machine Learning at University of Oxford
Matura Schwerpunktsetzung Informations- und Kommunikationstechnologie, Matura Schwerpunktsetzung Informations- und Kommunikationstechnologie at Bundesgymnasium Eisenstadt
Bachelor of Science - BSc Computer Science, Bachelor of Science - BSc Computer Science at University of Illinois Urbana-Champaign
Contributions:41 PRs, 101 pushes, 38 branches in 2 years 2 months
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Felix Wagner - DPhil (PhD) Researcher, Kamnitsas Lab For AI In Medicine at University of Oxford