About me

Lucie, in her role as Applied Policy Researcher at Hugging Face, works on the intersection of policy and AI technology. Her research focuses on harnessing AI to support online communities, such as on 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.

She 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 part of the Marie Skłodowska-Curie ITN WDAqua.

Her research focuses on technological solutions to problems of online communities, particularly Wikipedia, with a focus on lower-resourced language communities. Policy making in online communities is a topic crucial to her work. She has worked in cross-cultural NLP, editor behaviour on Wikipedia, and mutlilinguality in knowledge graphs such as Wikidata.

One of her projects adresses the question of how to support Wikipedia editors in creating a high-quality article by suggesting them 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).

She worked as a software developer at Wikimedia Deutschland in the Wikidata team. There, she was already involved in the previously mentioned topics, developing the ArticlePlaceholder extension, which displays Wikidata’s structured knowledge on Wikipedias of small languages.