Agata
Gliwice, Silesian Voivodeship, Poland
Summary
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SeniorAgata 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.
13 years of coding experience
Github Skills (12)
segmentation10
greedy5
jupyter-notebook5
unsupervised-learning5
image-viewer5
pytorch4
image-registration4
deep-learning3
python3
docker-desktop3
neuroimaging3
windows2
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-viewer
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
segmentation
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