Summary
Christian Mongeau is a statistician and data scientist with 11 years of experience applying advanced analytics, econometric modeling, and AI to bridge data gaps in food security, nutrition, and macroeconomic policy. As Coordinator of FAO's Data Lab for Statistical Innovation he leads development of statistical tools, non-conventional data integrations and interactive validation apps that directly inform evidence-based policymaking. His background as an economist and academic—PhD-level research and university teaching in econometrics—underpins rigorous model development from macroeconometric forecasting to machine-learning applications for tax evasion and sentiment indicators. He has a track record of translating web-scraped and text-mined sources into validated statistical products and improving FAOSTAT processes. Based in Medellín, Colombia, he combines policy-facing impact with hands-on tool building and a habit of embedding quality assurance into data workflows—often turning unconventional data into practical decision-support systems.
11 years of coding experience
3 years of employment as a software developer
Ph.D., Economics, Ph.D., Economics at Sapienza Università di Roma