Loïc Gouarin
Ingénieur De Recherche at CNRS
Pays de la Loire, France
Summary
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RockstarLoïc Gouarin is a research engineer in scientific computing with 12 years of experience, currently based in Pays de la Loire and working at CNRS. He specializes in high-performance C++ back-end development for numerics and tooling, contributing substantial fixes and feature additions to flagship projects like PETSc and the xtensor tensor library. His work on the xeus-cling Jupyter C++ kernel shows a pragmatic blend of developer ergonomics and low-level systems skills—implementing magic commands, improving introspection, and refining output formatting. Loïc focuses on correctness and reliability, evidenced by added unit tests and careful handling of expressions, views, ghost cells, and matrix localizations. Colleagues rely on him to untangle complex numerical data structures and make scientific software both robust and more usable. He brings a quietly persistent engineer’s mindset: preferring deep fixes and test-driven improvements that pay off across large open-source ecosystems.
12 years of coding experience
Github Skills (20)
c-language10
multidimensional-arrays10
code-completion10
interpreter10
gcc10
numpy10
petsc10
jupyter-kernels10
compiler10
tensor10
clib10
cprogramming-language10
testing9
data-structure9
linear-algebra9
Programming languages (17)
Github contributions (5)
jupyter-xeus/xeus-cling
Jul 2017 - Jun 2018
Jupyter kernel for the C++ programming language
Role in this project:
Back-end Developer
Back-end DeveloperContributions:72 commits, 35 PRs, 15 pushes in 11 months
Contributions summary:Loïc primarily contributed to the development of the Jupyter kernel for C++ programming language, focusing on the core interpreter functionality. Their work included fixing output formatting issues, implementing code completion features, and refining the introspection capabilities. The user also added the implementation for magic commands like `%file` and `%timeit` and added supporting features, indicating a focus on enhancing the user experience within the kernel. These contributions enhance the kernel's functionality and usability for C++ development within a Jupyter environment.
kernelc-programmingc-programming-languagec-plus-plusc-plus-plus-14
xtensor-stack/xtensor
Dec 2018 - May 2022
C++ tensors with broadcasting and lazy computing
Role in this project:Back-end Developer
Back-end DeveloperContributions:2 reviews, 18 commits, 10 PRs in 3 years 5 months
Contributions summary:Loïc primarily contributed to the core functionality of the xtensor library by fixing typos, correcting namespaces, and addressing issues within `xfunction`, `xoperation`, and `xview` classes. Their work involved refining the internal workings of the library, focusing on expressions and views. Additionally, they improved tests for `xfunction` and `xfunc_on_xexpression`, indicating a focus on code correctness and reliability within the tensor library.
cppmpinumpypython-bindingsc-plus-plus
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