Jonas Liechti

Senior Data Scientist - Managing Director & Partner

Zürich Metropolitan Area Switzerland
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Summary

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Jonas Liechti is a Senior Data Scientist, Managing Director and Partner based in the Zürich area with a PhD in Complex Systems and over a decade of experience bridging research-grade science and production data solutions. He has led scientific and engineering efforts across academia (ETH Zürich, EPFL) and industry, building reproducible scientific IT systems, managing data-science projects for cyber-defence, and founding client-facing digital solution work through freelance and T4D leadership. Jonas combines strong systems engineering chops with hands-on modeling expertise, frequently moving between code, infrastructure and stakeholder-facing delivery. He is an active contributor to the NumPy ecosystem, improving examples and documentation to make scientific Python clearer for the community. Colleagues describe him as a coding enthusiast and problem solver who translates complex physical models into robust, maintainable software. His background as a physicist informs a measurement-driven, curious approach to designing scalable data products.
code10 years of coding experience
job6 years of employment as a software developer
bookMaster's degree, Physics, insigni cum laude, Master's degree, Physics, insigni cum laude at Ecole polytechnique fédérale de Lausanne
bookDoctor of Philosophy - PhD, Complex Systems - Data Science, Doctor of Philosophy - PhD, Complex Systems - Data Science at ETH Zürich
bookBachelor's degree, Physics, Bachelor's degree, Physics at EPFL (École polytechnique fédérale de Lausanne)
languagesGerman, English, French
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Stackoverflow

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10,659reputation
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171answers
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matplotlib
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Github Skills (19)

python10
numpy10
code-documentation10
matplotlib9
wildcard9
django9
unzip9
django-views9
django-urls9
algorithms8
algorithm8
shell6
django-apps6
linux6
plot6

Programming languages (11)

QMLDockerfileCSSRC++JinjaShellRust

Github contributions (5)

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numpy/numpy

Oct 2021 - Oct 2021

The fundamental package for scientific computing with Python.
Role in this project:
userBack-end Developer
Contributions:1 review, 6 commits, 1 PR in 24 days
Contributions summary:Jonas primarily contributed to improving the example code within the NumPy library's `select` function, specifically focusing on providing better clarity and highlighting priority in multiple matches. Their commits involved adding examples, correcting a typo, and removing a redundant comment to enhance code documentation. Furthermore, the user incorporated edits suggested by another contributor to refine the existing examples. These changes demonstrate the user's focus on code quality, documentation, and collaborative improvements within the NumPy project.
lapackpythonmpindarrayconvolution
t4d-gmbh/pyAlluv

Jan 2021 - Nov 2024

matplotlib based tool for the visualization of alluvial diagrams.
Contributions:6 PRs, 67 pushes, 7 branches in 3 years 10 months
diagramspythonalluvial-diagramsmatplotlibdata-visualization
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Jonas Liechti - Senior Data Scientist - Managing Director & Partner