Doulo Sow is a second-year student of economics and statistical engineering at the Polytechnic Institute of Paris (ENSAE Paris IP-Paris). Most recently, he was a research assistant at the International Food Policy Research Institute, where he conducted heterogeneity analysis using machine learning techniques. Prior to this, he worked at the National Agency of Statistics and Demography of Senegal (ANSD) where he carried out statistical analysis on the relationship between employment and training.

Doulo graduated top of his class as a statistical engineer from the National School of Statistics and Economic Analysis in Senegal.  His research interests revolve around econometric modelling and causal inference through machine learning methods applied to impact assessment. He is a recipient of the Eiffel Scholarship from the French Government and is also a member of the Young Economist Network of the United Nations Economic Commission for Africa.