Manoel Galdino is an Associate Professor of Political Science at Universidade de São Paulo with 11+ years of experience applying statistical modeling, Bayesian methods and causal inference to public-policy and patent treaty research. He combines deep academic training (PhD in Political Science) with hands-on data science and product analytics experience, having led analytics teams at Hyperativa and Intuit and served as executive director of Transparência Brasil. His work blends a design-thinking approach to user-focused problems with rigorous econometric and Bayesian techniques, and he is fluent in R and SQL with public code on GitHub. A former leader of Brazil’s most prominent anti-corruption NGO, he brings practical impact in governance and transparency alongside a track record of high-accuracy predictive modeling in commercial settings.
12 years of coding experience
11 years of employment as a software developer
Bachelor's degree, Economics, Bachelor's degree, Economics at Faculdade de Economia e Administração da USP.
PhD, Political Science, PhD, Political Science at Universidade de São Paulo / USP
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