Edith Darin is a population data scientist and PhD student at Oxford with nine years' experience applying statistics, GIS and remote sensing to demographic research. She combines rigorous statistical training from ENSAE and social science foundations from École normale supérieure with applied GIS expertise from a Southampton MSc to tackle population and health data challenges. Her roles at WorldPop, the Leverhulme Centre for Demographic Science and Oxford Population Health blend methodological research with operational data science for policy-relevant projects. Comfortable moving between coding, spatial data pipelines and academic publication, she has a track record of translating complex geospatial datasets into actionable demographic insights. Based in Oxford, she brings a rare mix of international public-sector internship experience (including the WFP and Etalab) and sustained research-focused impact.
9 years of coding experience
1 year of employment as a software developer
Master's degree, Statistics, Master's degree, Statistics at ENSAE Paris
Master of Science - MS, Applied GIS and Remote Sensing, Master of Science - MS, Applied GIS and Remote Sensing at University of Southampton
Master's degree, SOCIAL SCIENCES, Master's degree, SOCIAL SCIENCES at École normale supérieure Paris-Saclay
IBGE bottom-up population model tutorial funded by UNFPA
Contributions:2 releases, 122 commits, 2 PRs in 11 months
bottom-uppopulation-modelibgebottom
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Edith Darin - PHD Student at Oxford Population Health