Summary
Carlos Góes is a PhD economist with over a decade of experience blending causal inference, structural methods, and data science to inform trade, firm dynamics, and macroeconomic policy. He currently works at the IFC on private-sector development projects while teaching international trade at George Washington University and holding a research affiliation with UC San Diego. His career spans senior advisory roles in the Brazilian presidency and research at institutions like the IMF, WTO, and World Bank, with work featured in The Economist, WSJ, FT and other global outlets. Carlos combines advanced empirical techniques (Python, Julia, Matlab, satellite imagery and ML) with public-facing communication—op-eds, lectures, and policy reports—to translate complex results for policymakers. An uncommon strength is his track record of embedding firm-level and green-finance data into practical policy tools, such as evaluating "greemium" and mapping local labor-market effects of exporters.
10 years of coding experience
11 years of employment as a software developer
University of California, San Diego
MA, International Relations and International Economics (Dual Degree), MA, International Relations and International Economics (Dual Degree) at Johns Hopkins School of Advanced International Studies (SAIS)
BA, International Relations, BA, International Relations at Universidade de Brasília
Portuguese, English, Spanish, French, Italian