Ben Mares
Independent Entrepreneur at Tensorial (EI Bernard Mares)
Ferney-Voltaire, Auvergne-Rhône-Alpes, France
Summary
🤩
Rockstar🎓
Top SchoolBen Mares is an independent entrepreneur and mathematician with over a decade of experience bridging mathematical modeling, data science, and DevOps for scientific and production software. He holds a PhD in Mathematics from MIT and has moved between academia and industry as a postdoc and senior data science consultant before founding his current venture, Tensorial. Ben is an active open-source contributor, improving critical Python ecosystem projects such as pip, SciPy, conda-forge, and Jupyter Docker stacks—work that spans backend feature work, statistical algorithm refactors, and reproducible build tooling. His strength is turning mathematically rigorous solutions into reliable, maintainable infrastructure (for example, replacing a numerical root-finder with a closed-form fit in SciPy and hardening package metadata for conda-forge). Fluent in German and based near Geneva, he combines deep theoretical training with practical DevOps and packaging expertise to support reproducible scientific workflows.
10 years of coding experience
9 years of employment as a software developer
PhD, Mathematics, PhD, Mathematics at Massachusetts Institute of TechnologyBrown UniversityDeutsch als Fremdsprache, Deutsch als Fremdsprache at TANDEM Hamburg language school (student)
Stackoverflow
1,969reputation
1.1mreached
27answers
6questions
fastapi
top-5%
python
top-5%
Github Skills (57)
algorithms10
dependency-management10
github-ci10
scipy10
docker10
c-language10
jupyterhub10
package-management10
python10
jupyter10
scripting10
testing10
tornado10
packaging10
conda10
Programming languages (22)
Github contributions (5)
jupyterhub/jupyter-server-proxy
May 2020 - Nov 2021
Jupyter notebook server extension to proxy web services.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:9 reviews, 26 commits, 8 PRs in 1 year 6 months
Contributions summary:Ben primarily contributed to the backend logic of the Jupyter server proxy, making enhancements to its functionality and maintainability. They addressed issues such as missing host configurations and improved the codebase by refactoring, adding comments, and eliminating unused variables. The user also focused on improving the proxy's features by adding rewrite response functionality. Furthermore, they added tests and made several changes to improve the code.
jupyter-notebookproxywebservicejupyterjupyterhub
pymc-devs/pymc
Jun 2021 - Nov 2022
Bayesian Modeling and Probabilistic Programming in Python
Role in this project:DevOps Engineer
DevOps EngineerContributions:2 releases, 61 reviews, 11 commits in 1 year 4 months
Contributions summary:Ben primarily contributed to the project's infrastructure and build processes. They implemented a Docker-based development container, including setting up pre-commit hooks, and created a workflow for building this container. They also updated the base images for the development container and made adjustments to the configuration and environment setup within the container. These actions focused on improving the development environment and CI/CD workflows.
bayesianprobabilistic-programmingpythonstatistical-analysisbayesian-inference
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