Clément Robert is a software engineer with a PhD in astrophysics and a decade of experience building and maintaining scientific Python libraries. Based in Grenoble, he currently supports the Astropy Project through NumFOCUS, focusing on bug fixes, infrastructure quality, and sustainability of community-driven astronomy software. His open-source work includes significant contributions to foundational projects like NumPy and yt, where he improves robustness, documentation, and compatibility across NumPy versions. Comfortable across research and engineering, he brings a researcher's attention to data correctness—evident in fixes to FITS handling and table data integrity—while prioritizing maintainability and clean APIs. Outside code, he’s a Python enthusiast and cat owner who bridges academic research workflows with production-ready scientific tooling.
10 years of coding experience
7 years of employment as a software developer
Sciences physiques, Sciences physiques at Lycée Raspail (Paris XIV)
Sciences physiques, Sciences physiques at Lycée Lavoisier (Paris V)
Master's degree (M2), Astronomie et Astrophysique - Dynamique des Systèmes Gravitationnels, Master's degree (M2), Astronomie et Astrophysique - Dynamique des Systèmes Gravitationnels at Observatoire de Paris-Meudon
Contributions:15 releases, 2254 reviews, 2201 commits in 4 years 4 months
Contributions summary:Clément's commits primarily involve code cleanup and refactoring tasks within the project. They focused on removing mentions of copyright headers and other outdated information in various files. Their work also included streamlining and improving the code base by removing legacy checks, and they made updates to ensure compatibility by replacing deprecated functionalities like the function `tostring` and API calls. This indicates a focus on code quality, maintainability and compliance with best practices within this scientific-computing codebase.
Contributions:1459 reviews, 3 commits, 563 PRs in 3 years 2 months
Contributions summary:Clément primarily focused on bug fixes and improvements to the `astropy/astropy` repository, especially in the `io.fits` module, with a key focus on ensuring correct handling of Fortran-ordered arrays, which is related to performance and the handling of image data. The user also demonstrated a strong understanding of scientific libraries by addressing compatibility issues with NumPy versions, including the handling of deprecations and new array functions, and fixing issues in the table module. Furthermore, the user contributed by adding tests for array functions with emphasis on ensuring data correctness and addressing a bug related to a loss of information when processing data using the Table object.
astrologypythonscienceastrophysicsastrodynamics
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.