Ralf Gommers
CEO Technology at Quansight
Zeeland, Netherlands
Summary
🤩
Rockstar🎓
Top School
Top expert inScientific Computing and Data Science
Ralf Gommers is a technology executive and open-source maintainer with 16 years of experience, currently serving as CEO Technology at Quansight. He combines deep scientific training (PhD in Physics) with hands-on engineering, having contributed substantively to cornerstone scientific Python projects like NumPy, SciPy, scikit-learn and PyWavelets. Ralf has a strong track record improving numerical robustness, build systems and test suites—work that spans compiler/build tooling (Pythran, Meson) to data-analysis stacks (pandas, statsmodels). As Co-Director of Quansight Labs he helped build multidisciplinary teams to grow open-source communities around AI and data science workflows. His background ranges from experimental physics and MRI research to industrial metrology at ASML, giving him a rare blend of academic rigor and product-focused engineering. Colleagues rely on him for bridging complex numerical algorithms into reliable, well-tested production tooling.
16 years of coding experience
16 years of employment as a software developer
MSc, Applied Physics, MSc, Applied Physics at Eindhoven University of TechnologyUniversity College London
Github Skills (39)
test-automation10
data-visualizations10
unit-testing10
float3210
restructuredtext10
python10
data-science10
sphinx10
testing10
scikit10
pandas10
statistics10
machine-learning10
data-visualisation10
build-system10
Programming languages (30)
Github contributions (5)
scipy/scipy
Apr 2010 - Jan 2023
SciPy library main repository
Role in this project:
Backend & QA Engineer
Backend & QA EngineerContributions:8 releases, 2710 reviews, 4045 commits in 12 years 11 months
Contributions summary:Ralf's commits primarily focus on improving the robustness and correctness of the SciPy library, specifically within the domain of statistical functions and linear algebra libraries. They are focused on addressing numerical issues, test suite improvements, and ensuring code compatibility across different platforms (32-bit Linux). Their contributions involve refactoring code, fixing test failures, and adding new tests to better cover code paths.
scipypythonscientific-computing
numpy/numpydoc
Nov 2016 - Apr 2021
Numpy's Sphinx extensions
Role in this project:Technical Writer
Technical WriterContributions:2 releases, 16 reviews, 49 commits in 4 years 5 months
Contributions summary:Ralf primarily focused on documentation and versioning tasks within the numpydoc repository. They updated the README.rst file to improve formatting for PyPI rendering, ensuring the project's description was correctly displayed. The user also consistently updated the project's version number, marking releases and development stages. Additionally, they updated the URL to the documentation in setup.py.
numpysphinx-extension
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