Jose Ruiz
Applied Scientist at Instituto de Astrofísica de Andalucía (IAA-CSIC)
Andalusia, Spain
Summary
👤
Senior🎓
Top SchoolJose Ruiz is an applied scientist with over a decade of experience bridging astrophysics and web technologies, currently working at the Instituto de Astrofísica de Andalucía since 2006. Trained in Physics & Astrophysics (UCM) with a master's from Universidad de Granada, he focuses on Virtual Observatory standards, astronomical archives, and reproducible research workflows for astronomers using Python and virtual environments. His background as a web developer informs a pragmatic, full-stack approach to building web services and archive tooling. Active in open-source, he has contributed to ctapipe—improving Python pipelines, plotting notebooks, and HDF5 image handling for Cherenkov Telescope data. Colleagues rely on him for making complex data-science processes auditable and repeatable across the astronomy research lifecycle.
11 years of coding experience
8 years of employment as a software developer
Master's degree, Astrophysics, Master's degree, Astrophysics at Universidad de GranadaLicenciatura, PHYSICAL SCIENCES, Licenciatura, PHYSICAL SCIENCES at Universidad Complutense de Madrid
French, English, Italian, Spanish, Japanese
Github Skills (8)
hdf10
jupyter-notebook10
python10
image-processing9
camera-calibration9
data-visualisation9
data-visualization9
data-visualizations9
Programming languages (6)
Github contributions (5)
cta-observatory/ctapipe
Oct 2017 - Oct 2020
Low-level data processing pipeline software for CTAO or similar arrays of Imaging Atmospheric Cherenkov Telescopes
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:10 commits, 2 PRs, 9 comments in 3 years
Contributions summary:Jose appears to have focused on developing and modifying Python-based code within the `ctapipe` repository. Their contributions include creating and modifying example notebooks, specifically related to plotting, and implementing features, as well as making changes to the core flow functionalities. Furthermore, there are signs of work on the handling of images in the HDF5 format. The user's changes span across the project, touching the core elements and the examples.
arraypipelinedata-processingprocessing-pipelineastronomy
gammapy/gammapy-data
Mar 2020 - Dec 2020
Datasets used in tutorials and tests
Contributions:1 release, 4 commits, 1 PR in 8 months
datasetsexploratory-data-analysisdataset
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