Federico Nanni is an Honorary Senior Data Scientist and Senior Research Data Scientist at The Alan Turing Institute with 10+ years applying NLP and information retrieval to humanities and social-science research. He leads research engineering work on adapting large language models for empirical scholarship, trains students and forges collaborations between Turing and UCL Advanced Research Computing. With a PhD in Digital History and a strong track record at the University of Mannheim, he blends rigorous historical methodology with cutting-edge machine learning. Federico’s background includes hands-on engineering of NLP pipelines for industry and publishers, and an unusual side project as a ghostwriter that speaks to his deep interest in narrative and primary sources. Based in London, he focuses on making generative models useful and explainable for researchers working with born-digital archives and social data.
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