Deborah Leem is a data scientist and Leverhulme Trust–funded PhD candidate at UCL working at the intersection of digital humanities and computational methods, collaborating with the British Museum to link TEI with the CIDOC CRM. She applies Python-based data mining, machine learning, NLP, network analysis and visualization to unlock new insights from cultural collections and explore “Collections as Data” methodologies. With nine years of experience, she blends rigorous academic research with practical tooling in Pandas, GIS and linked data to make heritage data more interoperable and research-ready. Passionate about widening participation, she actively champions women in data and technology while advancing knowledge representation approaches that reveal previously hidden connections in historical datasets.
Contributions:24 pushes, 1 branch in 3 years 4 months
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