Portfolio
Statistical population modelling for census support
I led a one-week workshop based on a series of hands-on tutorial to grasp the bases of the Bayesian approach for population models. All the materials, including Stan code, written tutos and presentation are available online on a dedicated website. It was first delivered to the Brazilian Stats Office (IBGE).
woprVision: a shiny app to visualise Bayesian predictions
I helped develop woprVision, a multilingual interacive application to visualise and retrieve Bayesian population estimates. We use woprVision at WorldPop as part of our data release process to support (1) mean estimates spatial aggregation for people with limited GIS-skills (2) full distribution aggregation for coomputing correct credible intervals.
Hybrid census in Burkina Faso: Bottom-up population modelling
I developped a Bayesian bottom-up population modelling to adress the challenge of the incomplete 2020 census in Burkina Faso. The model was combining GPS household location with remote sensing product in a Bayesian hierarchcical framework. The output is a hybrid gridded population that was endorsed by Burkina Faso Statistics Office.
Small area population estimates using random forest top-down disaggregation: An R tutorial
I have co-authored an R tutorial on how to develop top-down population models, which consists in disaggregating administrative estimates to a finer spatial resolution. We first shared this tutorial with the Brazilian Stats Office (IGBE).
CoopCycle: we socialize platform
Since 2017 I am a vice-president of the CoopCycle association that fights for fair working rights in the bike delivery sector.
