Pierrick Rambaud is a Senior Geospatial Data Scientist with 11 years of experience bridging numerical modeling, remote sensing and production-ready software for Earth Observation. Trained as a materials engineer with a PhD from MINES ParisTech, he pivoted to Python-driven geospatial engineering and has led development of core SEPAL tooling and documentation used widely for national forest monitoring and REDD+ workflows. At FAO he built and maintained sepal-ui, contributed modules for deforestation risk mapping and trained teams across Central Africa; he now applies advanced AI and satellite imagery at Louis Dreyfus Company to operational deforestation modeling. An active open-source contributor, he has improved usability and visualization in prominent projects like geemap and the pydata Sphinx theme, including dark-mode UX and palette handling. His uncommon combination of high-fidelity numerical simulation experience and hands-on product development gives him a pragmatic edge in turning research-grade algorithms into scalable tools for global environmental impact.
11 years of coding experience
1 year of employment as a software developer
High School Diploma, Mathematics, Physics and Engineering, Highest Honors, High School Diploma, Mathematics, Physics and Engineering, Highest Honors at lycée aux Lazaristes
classe preparatoire, Mathematics, physics, Engineering, Admitted to Mines Paristech, classe preparatoire, Mathematics, physics, Engineering, Admitted to Mines Paristech at lycée Chevrolliers
Doctor of Philosophy (PhD), numerical mecanic and materials, Doctor of Philosophy (PhD), numerical mecanic and materials at MINES ParisTech
A clean, three-column Sphinx theme with Bootstrap for the PyData community
Role in this project:
Full-stack Developer
Contributions:14 releases, 426 reviews, 100 commits in 1 year 5 months
Contributions summary:Pierrick's contributions centered around enhancing the pydata-sphinx-theme's user interface and functionality, particularly focusing on theme customization. They implemented a dark theme and theme switcher, enabling users to toggle between light and dark modes. The user also integrated support for new components and enhanced styling, including tables and image handling. Furthermore, they addressed accessibility improvements and the incorporation of FontAwesome icons.
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
Role in this project:
Data Scientist
Contributions:1 review, 13 commits, 8 PRs in 1 year 8 months
Contributions summary:Pierrick primarily contributed to the `geemap` Python package, which focuses on geospatial analysis and visualization using Google Earth Engine. Their commits involved enhancing functionality related to handling and displaying geospatial data. Specifically, they added features for downloading and displaying data, updated color palette handling, and refactored code to improve efficiency and maintainability, demonstrating proficiency in the project's core functionalities.
pythonjupyter-notebookgoogle-earthdeck-glcolab
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Pierrick Rambaud - Senior Geospatial Data Scientist