Franco Calle is an economist and AI-focused researcher with eight years of applied experience bridging rigorous economic research and industry-scale analytics. He holds a Ph.D. in Economics and an MBA from Chicago Booth and has worked on policy and empirical projects at institutions including The World Bank, NBER, Princeton, and Amazon. At Amazon he applies causal inference and machine learning to production problems, drawing on prior field research with Innovations for Poverty Action and policy consulting in Peru. Franco combines academic rigor with software development—publishing projects on his site—and brings a rare mix of deep econometric training and product-focused implementation to AI-enabled economic problems.
8 years of coding experience
1 year of employment as a software developer
Ph.D., Economics, Ph.D., Economics at The University of Chicago Booth School of Business
Bachelor’s Degree, Economics, Bachelor’s Degree, Economics at Pontificia Universidad Católica del Perú
Contributions:120 commits, 66 pushes in 1 year 10 months
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