Summary
Rafael Rockenbach is a seasoned auditor and economist with over 25 years at the Central Bank of Brazil, where he helped create the IBC-Br economic indicator and later led innovations in macroeconomic analysis through a data-centric approach. Holding a Ph.D. in Economics and a Visiting Scholar stint at UC Riverside, he bridges deep academic research in macroeconomics and deep learning with practical public-sector applications. His recent focus on SupTech and large language models reflects a commitment to responsibly harnessing AI for regulatory and economic insight. Rafael’s background in accounting and finance, complemented by certifications from Google Cloud and DeepLearning.AI, enables him to translate complex models into auditable, policy-relevant tools. Notably, his career arc—from building national economic benchmarks to exploring LLMs—shows an uncommon blend of institutional knowledge and cutting-edge AI curiosity. Based in Rio Grande do Sul, he combines rigorous research training with hands-on implementation in a high-stakes regulatory environment.
8 years of coding experience
Doctor of Philosophy (Ph.D.), Economics, Doctor of Philosophy (Ph.D.), Economics at Federal University of Rio Grande do Sul
Visiting Scholar, Economics, Visiting Scholar, Economics at University of California, Riverside
Bachelor's degree, Accounting and Finance, Bachelor's degree, Accounting and Finance at Pontifícia Universidade Católica do Rio Grande do Sul
Portuguese, English, Spanish