Lucie-Aimée Kaffee
Scholar

Lucie-Aimée Kaffee

Google Scholar ID: xiuGTq0AAAAJ
EU Policy Lead & Applied Researcher, Hugging Face
NLPWikipediaMultilingualityAI Policy
Citations & Impact
All-time
Citations
662
 
H-index
14
 
i10-index
18
 
Publications
20
 
Co-authors
11
list available
Resume (English only)
Academic Achievements
  • One of her projects addresses the question of how to support Wikipedia editors in creating high-quality articles by suggesting section headings and references to use in their language. This work is part of the Scribe project, funded by a Wikimedia Project Grant (2019/2020) and a CredCo Grant (2020). Worked as a software developer at Wikimedia Deutschland in the Wikidata team, where she developed the ArticlePlaceholder extension, which displays Wikidata’s structured knowledge on Wikipedias of small languages.
Research Experience
  • Worked in multiple institutions including the University of Southampton, University of Copenhagen, HPI Potsdam, etc. Her research focuses on technological solutions to problems of online communities, particularly Wikipedia, with a focus on lower-resourced language communities. She has worked in cross-cultural NLP, editor behavior on Wikipedia, and multilinguality in knowledge graphs such as Wikidata.
Education
  • Earned her PhD from the School of Electronics and Computer Science, University of Southampton, as part of the Web and Internet Research Group. She was a postdoc at CopeNLU, a NLP research group located at the University of Copenhagen (Københavns Universitet), postdoc at HPI Potsdam, Germany, Bloomberg Intern in London UK, research associate at the TIB Scientific Data Management Research Group in Hanover and was part of the Marie Skłodowska-Curie ITN WDAqua.
Background
  • In her role as EU Policy Lead & Applied Researcher at Hugging Face, she works on the intersection of policy and AI technology. Her research focuses on harnessing AI to support online communities, such as Wikipedia. Driven by a commitment to community-driven decision-making, she integrates her expertise in machine learning, AI ethics, and policy to address critical societal challenges.
Miscellany
  • Based in Berlin, Germany.