Edith Darin

I have been working since July 2018 as a research fellow at WorldPop, University of Southampton. I build Bayesian population models and maps for sub-Saharan African countries combining household survey and satellite-imagery derived products.

I have started in October 2022 a PhD at the Leverhulme Center for Demographic Science, in the Departement of Sociology of the University of Oxford. My supervisors are Douglas Leasure and Ridhi Kashyap and the topic evolves around Estimating population with high spatial resolution to complement censuses in data-scarce contexts.

I earned a MSc in applied GIS and remote sensing at the University of Southampton, where I wrote a thesis on deprived area mapping mobilising knowledge on quantitative geography, statistical modelling, and social sciences. Prior to that, I was trained in statistics (MSc from the ENSAE Paristech) and its social sciences application (Master at École Normale Supérieure de Cachan).

I applied my skills in the academic (Worldpop, University of Southampton), in the humanitarian (UN World Food Program) and in the governmental (Etalab, France) sectors always combining a strive for social justice and transparency with an indecent pleasure in playing with data.

Edith Darin

I have been working since July 2018 as a research fellow at WorldPop, University of Southampton. I build Bayesian population models and maps for sub-Saharan African countries combining household survey and satellite-imagery derived products.

I have started in October 2022 a PhD at the Leverhulme Center for Demographic Science, in the Departement of Sociology of the University of Oxford. My supervisors are Douglas Leasure and Ridhi Kashyap and the topic evolves around Estimating population with high spatial resolution to complement censuses in data-scarce contexts.

I earned a MSc in applied GIS and remote sensing at the University of Southampton, where I wrote a thesis on deprived area mapping mobilising knowledge on quantitative geography, statistical modelling, and social sciences. Prior to that, I was trained in statistics (MSc from the ENSAE Paristech) and its social sciences application (Master at École Normale Supérieure de Cachan).

I applied my skills in the academic (Worldpop, University of Southampton), in the humanitarian (UN World Food Program) and in the governmental (Etalab, France) sectors always combining a strive for social justice and transparency with an indecent pleasure in playing with data.