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Daniel van Strien

Machine Learning Librarian, Hugging Face

Daniel van Strien is a Machine Learning Librarian at Hugging Face focused on practical AI tooling—datasets, evaluation, documentation, and CLI/infrastructure that help people and agents use models effectively. He previously worked in libraries and digital humanities, including the British Library's Living with Machines project, and writes on OCR, cultural collections, and AI design patterns for information professionals.123

At a glance

Current role
Machine Learning Librarian
Sources cited
3
Profile reviewed

Accomplishments

  • Hugging Face Machine Learning Librarian.1
  • Living with Machines / cultural heritage AI background.1

ML Librarian at Hugging Face

Van Strien's site and Substack describe the ML Librarian role: improving Hub metadata via librarian bots, building reusable datasets and workflows, and asking whether models are useful for real tasks—not only benchmark scores—especially for libraries, archives, and museums.13

Where they work

Open roles at Hugging Face (6)

See all 6 open jobs at Hugging Face →

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References

3 sources · profile reviewed Oct 24, 2026 · data updated Oct 24, 2026

  1. About Me — Daniel van StrienDaniel van Strien · Official page · accessed Oct 24, 2026
  2. davanstrien — Hugging FaceHugging Face · Official page · accessed Oct 24, 2026
  3. What is a Machine Learning Librarian?Substack · accessed Oct 24, 2026