Michel Wermelinger
Academic Lead For Generative AI In Learning, Teaching And Assessment
Milton Keynes, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolMichel Wermelinger is an academic leader and software engineering researcher with over 20 years in higher education and a decade of professional experience focused on software evolution, maintenance, architecture and computing education. As Academic Lead for Generative AI in Learning, Teaching and Assessment at The Open University and a Senior Fellow of the HEA, he blends hands-on curriculum development (including Jupyter-based data analysis materials) with strategic leadership across large academic departments and national projects. His career spans international roles from Portugal to the UK, and includes practical industry collaboration and degree validation work requiring fluency in German. Michel’s research-driven approach informs pragmatic improvements in software quality and pedagogy, and he is notable for bringing cloud compatibility and reproducible notebooks into teaching resources.
10 years of coding experience
PhD, Computer Science, PhD, Computer Science at Universidade Nova de LisboaAbitur, Abitur at Deutsche Schule Lissabon / Escola Alemã de Lisboa
Portuguese, English, German, French
Github Skills (8)
pandas10
jupyter-notebook10
python10
data-analysis10
ed255199
microsoft-azure8
azure8
machine-learning3
Programming languages (5)
Github contributions (5)
mwermelinger/Learn-to-code-for-data-analysis
Dec 2017 - Aug 2020
Jupyter notebooks and datasets for this course
Role in this project:
Data Scientist
Data ScientistContributions:15 commits, 1 PR, 14 pushes in 2 years 7 months
Contributions summary:Michel primarily contributed to Jupyter notebooks containing educational content for a data analysis course. Their work involved adding and modifying code examples, including exercises on variables, expressions, and functions. The user also updated the notebooks to include Azure cloud service instructions and fixed a datareader incompatibility. Their contributions focused on enhancing the learning materials and ensuring compatibility within the course environment.
data-analysisdata-sciencejupyter-notebookanalysisnotebooks
dsa-ou/algoesup
Jan 2024 - Mar 2025
Algorithmic essays support: examples, templates, guides, library
Contributions:20 reviews, 31 PRs, 66 pushes in 1 year 2 months
data-structures
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