Hi, I’m Daniel van Strien, a Machine Learning Librarian at Hugging Face.
Most of my work splits between two threads: making the Hugging Face Hub a better place to work with data, and helping libraries, archives, and museums use AI on their actual collections.
I started my career in libraries and digital humanities, including work at the British Library on the Living with Machines project, and spent time supporting open access in academic libraries before moving into AI as the world’s first Machine Learning Librarian.
My work lives at the intersection of open-source technology, information management, and applied AI. Whether I’m building tools, writing tutorials, or contributing to community projects, I’m focused on making complex systems more usable, transparent, and inclusive.
At Hugging Face, I focus on the foundation of machine learning: data and datasets.