Jonas Liechti
Senior Data Scientist - Founder, Managing Director & Partner
Zürich Metropolitan Area Switzerland
Summary
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Rockstar🎓
Top SchoolJonas 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.
11 years of coding experience
6 years of employment as a software developer
Master's degree, Physics, Master's degree, Physics at EPFLDoctor of Philosophy - PhD, Complex Systems - Data Science, Doctor of Philosophy - PhD, Complex Systems - Data Science at ETH Zürich
German, English, French
Stackoverflow
10,659reputation
8.9mreached
171answers
4questions
matplotlib
top-5%
django-urls
top-5%
unzip
top-5%
python
top-1%
wildcard
top-5%
django
top-5%
Github Skills (19)
python10
numpy10
code-documentation10
matplotlib9
wildcard9
django9
unzip9
django-views9
django-urls9
algorithms8
algorithm8
shell6
django-apps6
linux6
plot6
Programming languages (12)
Github contributions (5)
numpy/numpy
Oct 2021 - Oct 2021
The fundamental package for scientific computing with Python.
Role in this project:
Back-end Developer
Back-end DeveloperContributions: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.
pythonscientific-computingnumpy
t4d-gmbh/EndemicPy
Jul 2015 - Nov 2022
Python package to simulate a vast range of transmission processes on various structures
Contributions:2 releases, 232 commits, 5 PRs in 7 years 5 months
python
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