Agata Sage
Adiunkt at Politechnika Śląska
Gliwice, Silesian Voivodeship, Poland
Summary
👤
Senior🎓
Top SchoolAgata Sage is a biomedical engineer and academic (Adiunkt) with 12 years of experience applying machine learning and medical image analysis to clinical problems, particularly cardiac procedure support and speech therapy diagnostics. Based at Politechnika Śląska in Gliwice, she blends research and teaching—delivering courses in AI and medical imaging while developing algorithms and statistical methods for both acoustic and image-based diagnostics. Her PhD work focused on processing acoustic signals and image data for computer-assisted speech therapy, reflecting a rare dual expertise in voice analytics and imaging. Colleagues describe her as a curious researcher who enjoys building innovative solutions that don’t yet exist and translating them into practical clinical tools. She has progressed from PhD student to research assistant and now faculty, indicating strong commitment to both scholarship and applied development. Fluent in bridging theory and implementation, she often combines statistical rigor with hands-on algorithm development to move prototypes toward real-world use.
12 years of coding experience
1 year of employment as a software developer
PhD, Biomedical Engineering, PhD, Biomedical Engineering at Politechnika Śląska
Polish, English
Github Skills (26)
segmentation10
connected7
mri7
jupyter-notebook6
unsupervised-learning6
image-viewer6
viewer6
volumes6
recursive5
image-segmentation5
pytorch5
deep-learning4
image-registration4
computer-vision4
openexr4
Programming languages (3)
Github contributions (5)
dsarrut/VV
Jul 2013 - Oct 2014
VV 4D image viewer
Contributions:10 commits in 1 year 2 months
image-vieweropenexrviewer
xmengli/H-DenseUNet
Sep 2019 - Oct 2020
TMI 2018. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes
Contributions:2 comments, 5 issues in 1 year 1 month
pytorchvolumesdeep-learningimage-segmentationcomputer-vision
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