Andrey Zhdanov
Laboratory Engineer
Helsinki, Finland
Summary
👤
Senior🎓
Top SchoolAndrey Zhdanov is a laboratory engineer and computational neuroscientist with 11 years of experience applying machine learning, high-dimensional statistics, and image/signal processing to functional brain data (MEG, EEG, fMRI). He bridges academic research and medical software development, holding a PhD in Biomedical Engineering and contributing to projects from MEG sensor design to clinical imaging tools. Andrey has a strong software toolkit (C/C++, Java, Python, MATLAB, Linux) and practical open-source experience improving robustness and maintainability in a notable 3D medical imaging repo. His work uniquely blends low-level algorithmic optimization with reproducible research practices, enabling translational neuroimaging applications in hospital and lab settings. Based in Helsinki, he combines deep domain expertise with hands-on engineering to move neurotechnology from prototypes toward clinical utility.
11 years of coding experience
15 years of employment as a software developer
M.Sc. Computer Science, M.Sc. Computer Science at Blavatnik School of Computer Science and AI, Tel Aviv UniversityDoctor of Philosophy (Ph.D.) Biomedical Engineering Engineering Physics, Doctor of Philosophy (Ph.D.) Biomedical Engineering Engineering Physics at Aalto UniversityB.A. Computer Science, B.A. Computer Science at Technion - Israel Institute of Technology
English, Russian, Hebrew, Finnish, Ukrainian
Github Skills (15)
medical-imaging10
python10
medical-image-processing10
fileio9
file-access9
tomography9
file-processing9
dicom9
file-handling9
data-structures8
data-structure8
version-control7
git7
debugging7
debug7
Programming languages (1)
Github contributions (5)
invesalius/invesalius3
Sep 2021 - Oct 2021
3D medical imaging reconstruction software
Role in this project:
Back-end Developer
Back-end DeveloperContributions:8 commits, 6 PRs, 3 comments in 1 month
Contributions summary:Andrey primarily focused on refactoring and enhancing the markers code within the 3D medical imaging reconstruction software. Their contributions involved adding versioning to marker file formats, cleaning up the markers code, and decoupling the marker label from the target status. They also removed legacy code and introduced a new class for storing markers. These changes improved the robustness and maintainability of the markers functionality.
reconstructionpythonvolume-renderingmriimaging
Helsinki-VideoMEG-Project/VideoMEG
Sep 2014 - Jul 2022
Contributions:74 commits, 10 PRs, 38 pushes in 7 years 11 months
examinationrecordingvideomagnetoencephalographyvideo-recording
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.