I am a Health Data Scientist at Epicentre, the epidemiology and research centre of Doctors Without Borders (MSF), based in Paris. I design and build data tools, analytical pipelines, and R/Shiny/Quarto/Stata/VBA/GIS applications that help field teams and researchers turn raw data into actionable evidence during health emergencies and epidemiological studies.

Before joining Epicentre in Paris, I worked with MSF in Senegal, where I gained firsthand experience supporting humanitarian operations with data. That fieldwork shaped how I approach my work today: every tool I build is meant to serve people making decisions under pressure, often with incomplete information and tight deadlines.

I hold a Master’s degree in Mathematical Statistics from the University of Rennes 1 and graduated as a Statistician Engineer from ENSAE-Dakar. My technical toolkit spans statistical modelling, geospatial analysis, survey design, and reproducible reporting – but what drives my work is the conviction that well-designed data systems save time, reduce errors, and ultimately help save lives.

I am progressively integrating AI into my data workflows – using large language models to accelerate code development, streamline analytical pipelines, and make results more accessible to non-technical decision makers. The goal is not to replace domain expertise but to amplify it: faster iteration, fewer manual bottlenecks, and analytical outputs that reach the people who need them sooner.

I co-founded the R Statistical Club and the Informatics Club at ENSAE-Dakar, and was an active member of the Dakar R User Group. I remain committed to building communities around open-source tools and knowledge sharing.