Christoph Gote
Machine Learning Researcher at ETH Zürich
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolChristoph Gote is a machine learning researcher and data scientist with eight years of experience developing software and quantitative models for large-scale time-series and network analysis. Currently a postdoc at the University of Zurich and affiliated with ETH Zurich, he builds risk indicators for software teams by mining and modelling massive git histories. He holds a PhD from ETH Zurich and dual MSc degrees in engineering and investment management, combining systems-control rigor with quantitative finance intuition. An active open-source maintainer, he created git2net and gambit to automate repository mining and name disambiguation—practical tools that reflect his focus on actionable research. His work blends graph learning, multi-relational time-series, and human-centred empirical studies, revealing systemic fragilities in collaborative software development.
8 years of coding experience
Bachelor of Science (BSc), Electrical Engineering and Information Technology, Bachelor of Science (BSc), Electrical Engineering and Information Technology at Karlsruhe Institute of Technology (KIT)Master of Systems and Control, Exchange Year, Master of Systems and Control, Exchange Year at Delft University of TechnologyDoctor of Science, Data Science, Network Science, Complex Systems, Doctor of Science, Data Science, Network Science, Complex Systems at ETH ZurichMaster of Science (MSc), Investment and Wealth Management, Master of Science (MSc), Investment and Wealth Management at Imperial College Business SchoolLondon School of Economics and Political Science
Dutch, Latin, Italian, English, German
Github Skills (9)
extraction10
editing10
msr9
python8
graphical-models7
time-series4
git4
network-analysis2
pypi2
Programming languages (2)
Github contributions (5)
gotec/gambit
Feb 2021 - Sep 2021
An Open Source name disambiguation tool for version control systems
Contributions:4 releases, 13 commits, 3 PRs in 6 months
gotec/git2net
Jan 2019 - Jan 2023
An Open Source Python package for the extraction of fine-grained and time-stamped co-editing networks from git repositories.
Contributions:9 releases, 281 commits, 15 PRs in 4 years 1 month
repositoriesextractionpythonfine-grainedfine
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