Lukas Fischer
Head Of Applied Research at NXAI
Linz, Upper Austria
Summary
👤
Senior🎓
Top SchoolLukas Fischer is a Head of Applied Research and research manager with nine years of professional experience bridging deep learning research and industrial AI deployment. He leads large, multidisciplinary teams and has steered multiple national and EU research projects translating advances in generative models, transformers, diffusion models and trustworthy AI into real-world applications, with a strong track record in medical computer vision such as segmentation and bone microarchitecture quantification. Trained with an MSc in Medical Informatics (TU Wien) and PhD work in medical physics at the Medical University of Vienna, he combines rigorous academic expertise with hands-on system engineering and project management. He also contributes to the research community as a conference PC member and reviewer for top venues like Nature, IEEE TMI and MICCAI, and co-founded Responsible Annotation to address practical data quality and governance challenges. Notably, his background spans both algorithmic innovation (statistical shape models, transfer learning, privacy-preserving ML) and the translation of those methods into regulated medical and industrial contexts.
8 years of coding experience
15 years of employment as a software developer
Vienna University of TechnologyDoctor of Philosophy (PhD), Medical Physics, Doctor of Philosophy (PhD), Medical Physics at Medical University of Vienna
German, English
Github Skills (13)
elastix6
image-registration5
image-filters4
deep-learning4
image-reconstruction4
simpleitk4
medical4
image-processing3
machine-learning2
neural-style-transfer1
generative1
keras1
tensorflow1
Programming languages (4)
Github contributions (5)
perlfloccri/NuclearSegmentationPipeline
Jul 2019 - Apr 2021
Contributions:15 commits, 1 PR, 10 pushes in 1 year 9 months
eghbalz/deepsnp
Oct 2018 - Jul 2019
The sourcecode of DeepSNP
Contributions:18 commits, 2 PRs, 16 pushes in 10 months
deep-learningsourcecode
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