Anna Zapaishchykova
Senior ML Scientist at Centile Bioscience
United States
Summary
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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
7 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 (147)
projection10
python10
topological-data-analysis10
correlation10
deep-learning10
approximation10
dimensionality-reduction10
rendering10
sdk10
computer-vision10
spread10
uniform10
odometry10
tensorflow10
jupyter-notebook10
Programming languages (6)
Github contributions (5)
zapaishchykova/medium-bokeh-viz
Aug 2019 - Sep 2022
Contributions:7 commits, 6 pushes, 1 branch in 3 years 1 month
JieYingWu/COVID-19_US_County-level_Summaries
Mar 2020 - Jul 2020
Attempt to find correlation between a region's demographic/economic factors with its ability to manage disease spread
Contributions:112 commits, 29 PRs, 57 pushes in 3 months
economicabilityregiondisease-spreadcorrelation
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