Julian Frattini
Postdoctoral Researcher at Chalmers University of Technology and Gothenburg University
Gothenburg, Sweden
Summary
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Senior🎓
Top SchoolJulian Frattini is a postdoctoral researcher and PhD candidate in software engineering based in Gothenburg, Sweden, with nine years of experience studying requirements quality and empirical methods for hybrid AI systems. His work blends statistical causal inference with practical measures for natural-language requirements, aiming to make requirements assessment more rigorous and reproducible. At Chalmers and Gothenburg University he combines research with teaching, and his trajectory includes a Master’s in Informatik from TUM. Colleagues describe him as collaborative and curious—equally at home in fieldwork outdoors, language learning, or diving into data-driven experiments. An interesting facet is his dual focus on both methodological rigor and the human side of requirements, connecting empirical evidence to how teams actually communicate needs.
8 years of coding experience
Master of Science - MS Informatik, Master of Science - MS Informatik at Technical University of Munich
Stackoverflow
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Github Skills (11)
apply10
testing9
nlp8
artifacts8
causal-inference7
causality7
python6
quality-assurance5
ontology4
requirements3
credit2
Programming languages (5)
Github contributions (5)
JulianFrattini/cira
Feb 2022 - Dec 2022
Python package for functions around the causality in requirements artifacts (CiRA) initiative.
Contributions:2 releases, 55 reviews, 135 commits in 10 months
nlppythoninitiativeartifactspython-package
JulianFrattini/rqi-proto
Oct 2023 - Feb 2025
Contributions:3 releases, 58 pushes, 1 branch in 1 year 4 months
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