Ruben Di Battista
Quant Technologist at Qube Research & Technologies
Paris, Ile-de-France
Summary
🤩
Rockstar🎓
Top SchoolRuben Di Battista is a Quant Technologist based in Paris with 11 years of experience bridging applied mathematics, high-performance engineering, and production-ready tooling. He holds a PhD in Applied Mathematics focused on two-phase flow modeling and has shifted that rigor into quantitative research and reliable software delivery at Qube Research & Technologies. Ruben combines deep numerical and simulation expertise (from NASA and École Polytechnique projects) with hands-on DevOps and release management—contributing to notable open-source projects like pydata/bottleneck by modernizing CI/CD and multi-arch Python wheel builds. He also leads community-driven space initiatives (SpaceCon, Open Space Makers) and has built scheduling algorithms for satellite ground-station networks, showing a rare mix of industry-grade quant skills and space systems experience. Colleagues rely on him for robust automation, cross-domain problem solving, and a curiosity that fuels both research-grade models and pragmatic deployment.
11 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Applied Mathematics | Two-phase flow modeling and simulation, Doctor of Philosophy - PhD, Applied Mathematics | Two-phase flow modeling and simulation at École PolytechniqueBachelor of Science (B.Sc.), Ingegneria Aerospaziale, Bachelor of Science (B.Sc.), Ingegneria Aerospaziale at Politecnico di MilanoLicenza Superiore, Scientifico Sperimentale bilingue, 100/100, Licenza Superiore, Scientifico Sperimentale bilingue, 100/100 at Liceo Scientifico T. PatiniResearch Master in Fluid Dynamics, Environmental and Applied Fluid Dynamics, With Honors, Research Master in Fluid Dynamics, Environmental and Applied Fluid Dynamics, With Honors at von Karman Institute for Fluid Dynamics
Italian, English, French
Github Skills (16)
lua10
release-management10
linux10
github-ci10
githubaction-workflow10
python10
build-automation10
cicd10
ebuild10
numpy10
scientific-computing9
c-extension9
science9
c119
hpc9
Programming languages (24)
Github contributions (5)
pydata/bottleneck
Feb 2022 - Jan 2023
Fast NumPy array functions written in C
Role in this project:
DevOps Engineer & Release Manager
DevOps Engineer & Release ManagerContributions:13 reviews, 78 commits, 58 PRs in 11 months
Contributions summary:Ruben primarily focused on maintaining and improving the build and release process. This is evident from the commits that update the CI/CD pipeline to GitHub Actions and address issues related to building wheels for different architectures. Additionally, the user managed releases by updating the release notes and versioning information, demonstrating expertise in project maintenance and deployment strategies. The user made the builds compatible with new NumPy versions and switched the build to manylinux_2_24_x86_64.
numpycpythonc-extension
easybuilders/easybuild-easyblocks
Apr 2018 - May 2018
Collection of easyblocks that implement support for building and installing software with EasyBuild.
Role in this project:Backend Developer & Automation Engineer
Backend Developer & Automation EngineerContributions:5 commits, 6 PRs, 5 comments in 1 month
Contributions summary:Ruben contributed to the `easybuilders/easybuild-easyblocks` repository by implementing and refining easyblocks for software installation, specifically focusing on the Lua package. They added initial support for Lua, including patching configuration files and creating installation steps. Subsequent commits added testing to verify the correct installation path and utilized paths from the installation directory. The user also worked on handling Boost library dependencies.
pythoninstallinglinuxscientific-softwarehpc
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