Hi, I’m Daniel. I’m a Machine Learning Librarian at Hugging Face.

I am interested in how ideas from library science can inform a healthy machine-learning ecosystem and how machine learning can support the work of galleries, libraries, archives, and museums (GLAM).

Some projects I am/have been involved in:

  • BigLAM: an initiative to make GLAM datasets with machine learning datasets more widely available.
  • ai4lam: an international, participatory community focused on advancing the use of artificial intelligence in, for and by libraries, archives and museums.
  • LivingwithMachines: a research collobaration between the British Library and the Alan Turing Institute focused on applying data science and machine learning methods to digitised historical collections.

You can find more projects here.

You can find me on the Hugging Face Hub, Linkedin, Twitter and Mastodon