Anna Zapaishchykova
Editorial Board Trainee at Radiological Society of North America (RSNA)
United States
Summary
👤
Senior🎓
Top SchoolAnna Zapaishchykova is a Senior ML Scientist with 10 years of experience applying deep learning and computer vision to medical imaging and computer-aided procedures. She holds a PhD track in Radiation Oncology Research and has combined academic rigor at Maastricht and Harvard with translational work at Brigham and Women's Hospital, where her MRI-based pediatric brain cancer frameworks led to high-impact publications including a first-author Nature Communications paper. Anna moves fluidly between research and engineering — from AR/SLAM and point-cloud reconstruction to production ML pipelines demonstrated during an AWS Professional Services engagement. She currently contributes to editorial review at RSNA (two Editor Recognition Awards) while driving ML innovation at Centile Bioscience and has a history of mentoring students and presenting at top conferences. Her background in biomedical computing and hands-on sensor/AR prototyping gives her a rare mix of clinical-domain insight and practical system-building skills. Notably, she blends causal inference and augmented reality techniques into medical-imaging solutions, reflecting a creative, interdisciplinary approach to improving patient care.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Radiation Oncology Research, Doctor of Philosophy - PhD, Radiation Oncology Research at Maastricht UniversityMaster's degree, Biomedical Computing, Master's degree, Biomedical Computing at Technical University of MunichIgor Sikorsky Kyiv Polytechnic Institute
German, French, Ukrainian, English, Russian
Github Skills (185)
projection10
python10
image-processing10
topological-data-analysis10
correlation10
deep-learning10
computer-graphics10
in-app-purchase10
approximation10
intel10
dimensionality-reduction10
rendering10
sdk10
neural-network10
computer-vision10
Programming languages (4)
Github contributions (5)
zapaishchykova/medium-bokeh-viz
Aug 2019 - Sep 2022
Contributions:7 commits, 6 pushes, 1 branch in 3 years 1 month
zapaishchykova/SegmentationReview
Apr 2023 - Mar 2025
Slicer3D extension for rating using Likert-type score Deep-learning generated segmentations, with segment editor functionality. Created to speed up the validation process done by a clinician - the dataset loads in one batch with no need to load masks and volumes separately.
Contributions:6 reviews, 11 PRs, 62 pushes in 2 years
3d-slicer-extension
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