Maxime Boissonneault
Team Lead - Research Support National Team
Quebec, Canada
Summary
👤
Senior🎓
Top SchoolMaxime Boissonneault is a Team Lead and HPC specialist with a PhD in Quantum Physics and over a decade of experience building and optimizing high-performance scientific software for national research infrastructures. Based in Quebec, he combines deep theoretical physics training with hands-on systems engineering—parallelizing C++/Fortran codes, tuning MPI/OpenMP/CUDA workloads, and administering cluster schedulers for thousands of cores. He leads national support and documentation efforts at the Digital Research Alliance of Canada while standardizing scientific software installation and ticketing for hundreds of users. A longtime self-taught programmer, Maxime contributes to prominent open-source HPC projects like EasyBuild and Apptainer, improving build automation, patch handling, and container GPU integration. His profile blends research rigor, teaching experience, and practical DevOps/system-architect work that quietly keeps large-scale computational science running.
11 years of coding experience
1 year of employment as a software developer
High School, General, High School, General at Polyvalente Le TremplinPh D, Quantum Physics, Ph D, Quantum Physics at Université de SherbrookeCollege, Sciences de la nature, College, Sciences de la nature at Cégep de l'Abitibi-Témiscamingue
French, English, Spanish
Github Skills (21)
dependency-management10
gzip10
container10
scite10
package-management10
python10
patch10
linux10
build-system10
hpc10
makefile10
go10
scilab10
build-automation10
file-handling10
Programming languages (27)
Github contributions (5)
easybuilders/easybuild-easyblocks
Feb 2017 - Nov 2022
Collection of easyblocks that implement support for building and installing software with EasyBuild.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:38 reviews, 132 commits, 63 PRs in 5 years 10 months
Contributions summary:Maxime's contributions primarily involve modifications to build and install scripts, particularly within the context of scientific software and high-performance computing (HPC) environments. The user addressed issues related to directory structures, package dependencies, and build configurations. They also implemented changes to adapt to version-specific differences in software installations, indicating a focus on build automation and ensuring compatibility across different software versions.
pythoninstallinglinuxscientific-softwarehpc
easybuilders/easybuild-framework
Feb 2017 - Nov 2022
EasyBuild is a software installation framework in Python that allows you to install software in a structured and robust way.
Role in this project:Backend Developer
Backend DeveloperContributions:3 reviews, 131 commits, 38 PRs in 5 years 9 months
Contributions summary:Maxime primarily contributed to the `easybuilders/easybuild-framework` repository by modifying the `filetools.py` module, focusing on functionality related to handling and extracting patches. Their work involved implementing and refining the extraction of gzipped patches, incorporating the use of the `extract_file` function, and addressing various issues such as handling different compression types and correcting typos. These modifications indicate a focus on improving the robustness and functionality of the software installation framework.
pythonstructuredlinuxscientific-softwareinstallation
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