Fakhri Momeni
Research Assistant at GESIS - Leibniz-Institut für Sozialwissenschaften
Germany
Summary
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Senior🎓
Top SchoolFakhri Momeni is a Research Assistant at GESIS with a decade of experience applying data science and machine learning to social science research. He holds a PhD in Computer Science from the University of Düsseldorf, where he developed NLP methods for text classification and vector space modeling, and a Master's in Mechatronics from the Science and Research University of Tehran. At GESIS since 2015, he translates complex social questions into reproducible, data-driven analyses and builds tooling to support empirical research. His background across mechatronics and computational linguistics gives him a practical edge in bridging algorithmic rigor with experimental design. Colleagues value his blend of academic depth and applied focus, and his work often surfaces methodological improvements that make large-scale text analysis more interpretable for social scientists.
10 years of coding experience
Master, Mechatronik, Master, Mechatronik at science and research university of tehranDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Düsseldorf
Github Skills (20)
citations10
text-editor10
opendocument10
biblatex10
docx10
bibtex10
latex10
javascript9
csl9
math9
react9
citation9
editor8
edit-distance7
python3
Programming languages (4)
Github contributions (5)
momenifi/fiduswriter
Mar 2016 - Jan 2017
Contributions:5 PRs, 65 pushes, 4 branches in 9 months
ebookpublishlayoutsformulasjavascript
momenifi/methodHub
Jan 2024 - Jan 2025
Contributions:130 pushes, 1 branch in 1 year
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