Summary
Thiago Meireles is a Ph.D. data scientist and researcher based in São Paulo with nine years of experience applying advanced quantitative methods to public policy and digital inclusion challenges. At Cetic.br he leads methodological innovation—building performant internal tools, user-friendly visualization and tabulation systems, and pioneering web-scraping-derived digital indicators to inform stakeholders. He combines rigorous causal inference, pseudo-weighting for non-probability surveys, and NLP for open-ended responses with hands-on R-based engineering to turn complex microdata into actionable insights. As a freelance lead consultant and former instructor, he has translated academic methods into tailored indicator design, sampling guidance, and online experimental protocols for national and international clients. His doctoral work on AI, labor markets, and inequality and his COVID-19 task force research reveal a practical focus on measuring social impacts of technological change, not just modeling for modeling’s sake.
9 years of coding experience
Bachelor's degree, International Relations, Bachelor's degree, International Relations at Universidade Estadual Paulista Júlio de Mesquita Filho
University of São Paulo
Portuguese, English, Spanish