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 a PhD from MIT and a decade of experience translating academic rigor into production-ready data science and DevOps solutions. He moved from postdoctoral research and senior data-science consulting into running Tensorial, focusing on build systems, CI/CD and packaging for scientific software. An active open-source contributor, Ben has made substantive infrastructure and algorithmic improvements across SciPy (skewnorm fitting), pip (deprecation feature flags), Aesara (build and release automation), PyMC and the Jupyter Docker stacks. He combines deep mathematical insight with hands-on build/release engineering—streamlining Docker images, development containers, and conda/mamba packaging to make reproducible research practical. Based in Ferney-Voltaire near the France–Switzerland border, he has also studied German and often delivers pragmatic, behind-the-scenes fixes that improve developer workflows across widely used scientific tools.
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 (64)
dependency-management10
algorithms10
dockerce10
scipy10
docker10
c-language10
github-ci10
package-managers10
jupyterhub10
python10
package-management10
jupyter10
scripting10
testing10
github-actions-workflows10
Programming languages (20)
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.
pythonproxyjupyter-notebooknotebookweb-services
pymc-devs/pymc
Jun 2021 - Nov 2022
Bayesian Modeling and Probabilistic Programming in Python
Role in this project:DevOps Engineer
DevOps EngineerContributions:52 reviews, 11 commits, 40 PRs 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.
pythonbayesian-inferencestatistical-inferencemachine-learningprobabilistic-programming
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