Hagai Har-gil
System Engineering Team Lead at Nova Ltd.
Ramat Gan, Tel-Aviv District, Israel
Summary
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Senior🎓
Top SchoolHagai Har-gil is a systems engineering leader with a PhD in Neuroscience from Tel Aviv University and about a decade of hands-on experience building and shipping complex optics and software systems. He designs end-to-end solutions—from optical layouts and hardware integration to control software and data-analysis pipelines—and has a track record of quickly characterizing novel sensors and proposing practical applications for industry. At NEC and now Nova, he blends customer-driven problem solving with experimentation in cameras, sensors and computer-vision models to turn research-grade devices into deployable products. An active contributor to scientific tooling, he has improved core motion-correction components in the widely used CaImAn calcium-imaging toolbox, reflecting deep familiarity with both imaging hardware and analysis software.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD Neuroscience, Doctor of Philosophy - PhD Neuroscience at Tel Aviv University
Github Skills (10)
python10
testing9
deconvolution8
numpy8
file-access7
fileio7
file-handling7
file-processing7
visualization6
visualizations6
Programming languages (11)
Github contributions (5)
flatironinstitute/CaImAn
Oct 2017 - Aug 2019
Computational toolbox for large scale Calcium Imaging Analysis, including movie handling, motion correction, source extraction, spike deconvolution and result visualization.
Role in this project:
Back-end Developer / Data Scientist
Back-end Developer / Data ScientistContributions:19 commits, 7 PRs, 2 pushes in 1 year 10 months
Contributions summary:Hagai primarily focused on bug fixes and improvements related to the `caiman` library, specifically within the `motion_correction` module, indicating a focus on the core functionalities of the project. Their contributions include addressing issues with FIJI-generated TIFF files and redefining missing variables. Furthermore, the user made modifications to the component evaluation methods and test structures, highlighting a technical understanding of the library's functionalities and testing practices.
extractionpythondeconvolutionimagingcnmf
PBLab/ca-analysis-bloodflow
Aug 2017 - Jul 2021
Contributions:100 pushes, 3 branches in 3 years 11 months
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