Senior Research Fellow at Max Planck Institute for Innovation and Competition
Bavaria, Germany
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Summary
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Michael Rose is a Senior Research Fellow based in Bavaria with 11 years of interdisciplinary experience at the intersection of science, digitization, and economics. He combines a PhD-driven research background with hands-on software development, contributing to prominent open-source projects like NetworkX and pybliometrics to improve graph algorithms and Scopus data retrieval. His work blends machine learning and network analysis to study complex scholarly and economic systems, and he has a track record of improving core libraries and testability to make research reproducible. A polyglot in both natural and programming languages, he moves comfortably between academia and production code, having held roles at Max Planck, Kiel Institute, and international research visits including Georgia Tech and Deutsche Bundesbank.
11 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at University of Cape Town
Abitur (Highschool Diploma), Abitur (Highschool Diploma) at Max-von-Laue-Gymnasium Koblenz
Stellenbosch University/Universiteit Stellenbosch
Stockholms universitet
Master of Science (M.Sc.), Master of Science (M.Sc.) at Kiel University
Bachelor of Science (B.Sc.), Bachelor of Science (B.Sc.) at Friedrich-Schiller-Universität Jena
Advanced Studies Programme, Advanced Studies Programme at Kiel Institute for the World Economy
Contributions:121 reviews, 631 commits, 126 PRs in 6 years 5 months
Contributions summary:Michael made numerous contributions focused on enhancing the backend functionality of the `pybliometrics` library. The commits primarily involved implementing new methods and features, such as allowing for specific parameters within the API calls, and extending the retrieval of information from the Scopus API. The work involved modifications to core classes, suggesting a focus on improving the data retrieval process and the library's overall capabilities.
Contributions:21 commits, 22 PRs, 133 comments in 1 year 6 months
Contributions summary:Michael refactored and reorganized existing code related to graph centrality algorithms, specifically splitting the `communicability_alg` module. They also added their name to the `credits.rst` file and made improvements to test scripts. The user's contributions involved modifying core algorithms and improving documentation, demonstrating a focus on code maintainability and project structure within the network analysis domain.
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Michael Rose - Senior Research Fellow at Max Planck Institute for Innovation and Competition