Sébastien Rochette is a PMO Tech Project Manager with a decade of experience delivering pragmatic web and data products, blending hands-on development with Lean, people-centered project leadership. He has led cross-functional teams building custom web and mobile tools (Symfony, NuxtJS, REST) while championing documentation-first practices, TDD and CI/CD to ensure reliable, testable releases. A longtime R and geospatial specialist, he contributes to well-known open-source projects like the sf package and the golem Shiny framework, improving spatial sampling, testing infrastructure and documentation. His background as a researcher and PhD in fisheries science informs a data-driven approach to product discovery, modeling and stakeholder communication. Trained in Lean management, he practices A3 problem solving and gemba walks to continuously improve delivery and developer skills. He combines scientific rigor with pragmatic DevOps and product ownership to turn complex domain needs into maintainable, user-centered tools.
10 years of coding experience
3 years of employment as a software developer
Research Doctorate, Halieutique, Research Doctorate, Halieutique at Agrocampus Ouest
BTS, Biochimiste, BTS, Biochimiste at Lycée Notre-Dame, Le Mans
Management LEAN, Management LEAN at Learning to Scale
Contributions:37 commits, 21 PRs, 97 pushes in 4 years 5 months
Contributions summary:Sébastien primarily contributed to the development and maintenance of the `golem` R package, a framework for building Shiny apps. Their work included refactoring code organization (moving files, hiding from build), enhancing the UI with display/undisplay tag functionalities, and improving the testing infrastructure. They also integrated documentation using pkgdown, added code coverage and updated dependencies related to the build process and testing environment.
Contributions:5 commits, 2 PRs, 8 comments in 4 months
Contributions summary:Sébastien contributed to the `sf` R package, focusing on spatial data handling. Their work involved implementing and modifying functions for spatial sampling of different geometry types, including lines. They updated the code for the `st_ll_sample` function and addressed issues related to handling zero-length lines and improved regular sampling. Additionally, the user updated the namespace and RcppExports, which are critical for the package's underlying functionality.
r-packagespatialgeosrstatsgdal
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Sébastien Rochette - PMO Tech Project Manager at LE PHARE