Presentation

I am a Ph.D. student in Analytical Sociology. My research focuses on spatial inequalities using causal and machine learning methods. I use the Swedish register data for my research.

My work centers around how space create and sustains inequalities. My research aims at showing that individuals’ spatial patterns and mobility shapes their life chances, e.g. education, criminality, employment opportunities. To do so, I combine the Swedish register data with innovative data sources like OpenStreetMap. I am part of a research project entitled “Register-based Machine Learning” and linked to the Swedish Network for Register-Based Research.

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Academic background

  • Bachelor in Sociology, Paris-Dauphine University, France (2018)
  • Bachelor in Mathematics Applied to Social Sciences, Paris-Diderot University, France (2020)
  • Master in Quantitative Sociology and Demography, Paris-Saclay University, France (2020)
 

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