معرفی
Camilo Umaná Dajud is a Researcher in Economics at CEPII, focusing on International Trade and Economic Development. He holds a Ph.D. from Sciences Po (2015), with extensive visiting research at Princeton University, Yale University, and the London School of Economics. His work includes developing OECD's machine learning model for ICT sector growth measurement and analyzing Free Trade Agreements' impacts. He has taught International Trade and Economics at institutions like L'École Nationale d'Administration (ENA), Université Panthéon-Sorbonne, and the Universidad Nacional de Colombia. His research spans trade policy, climate change effects on trade routes, and visa policies' economic impacts.
Key achievements include the FtaCoder machine learning tool for FTA analysis and policy contributions on infrastructure investment in Latin America. Awards include the Princeton Doctoral Exchange Stipend and Sciences Po's highest GPA distinction. His recent work explores melting polar ice's implications for global trade and welfare.
Teaching materials include course slides on International Trade and Gravity Equation models. He actively collaborates on CEPII policy blogs and has media coverage in outlets like Le Monde and Elcano Royal Institute.
