Curriculum Vitae

Insper, São Paulo, Brazil

MITx Online, Massachusetts Institute of Technology · Verified credential

Federal University of Espírito Santo, Vitória, Brazil

FUCAPE Business School, Vitória, Brazil

Founded and scaled educational platform to 200,000+ followers. Columnist at Folha de São Paulo. Developed and launched "Foundations of Econometrics" course, providing hands-on training in R, Python, and Stata.

São Paulo, Brazil

Health-economics and public-policy evaluation projects using causal inference, panel-data econometrics, and modern difference-in-differences estimators.

Brazilian Institute of Economics, Rio de Janeiro, Brazil

Econometric analysis for DNIT (National Department of Transport Infrastructure) under Dr. Janaina Feijó. Research design, data collection pipelines, and causal inference for infrastructure policy evaluation.

Rio de Janeiro, Brazil

Labor market analysis integrating multiple national databases (RAIS, CAGED) with real-time job market data. Predictive models to align educational offerings with market demand.

São Paulo, Brazil

Automated tax document processing using NLP and machine learning. ETL pipelines in AWS with CI/CD practices. Legislative document analysis with international teams.

Dallas, Texas, USA

Market intelligence for oil and gas companies. Automated data collection systems, interactive dashboards, and spatial analyses for logistics and market expansion.

"Environmental Enforcement and Abnormal Stock Returns: Causal Evidence from Brazil". Forthcoming in Brazilian Review of Finance; accepted for oral presentation at the XXVI Encontro Brasileiro de Finanças, UNIFOR, Fortaleza, 2026.

"Masking the identification problem: how time aggregation manufactures cross-country evidence — A comment on Tausk & Spira (2025), BMC Public Health". Forthcoming in Journal of Comments and Replications in Economics, 2026.

"From Association to Explanation: Strengthening Research Design and Causal Reasoning in Accounting Scholarship" (with F. Motoki, V. Pinho Neto). Advances in Scientific and Applied Accounting (ASAA), 2026.

"Economic conditions and voting behavior" (with F. Barros, G. Correa-da-Silva, V. Pinho Neto). Public Choice, 2025.

"Assessing political bias and value misalignment in generative artificial intelligence" (with F. Motoki, V. Pinho Neto). Journal of Economic Behavior and Organization, 2025.

"Natural disasters and financial technology adoption" (with F. Barros, B. Delalibera, V. Pinho Neto). Economics Letters, 2025.

"Government, taxation and economic complexity" (with F. Barros, L. Brotherhood, F. Gomes). Applied Economics Letters, 2024.

"More human than human: measuring ChatGPT political bias" (with F. Motoki, V. Pinho Neto). Public Choice, 198(1), 3–23, 2024.

"Bonus for firearms seizures and police performance" (with F. Barros, B. Delalibera, V. Pinho Neto). Economics Letters, 217, 110681, 2022.

"Economic complexity and corporate governance" (with F. Barros, L. Brotherhood). Applied Economics Letters, 29(1), 68–71, 2022.

"On the determinants of a stable long-run relationship between energy consumption and economic growth" (with F. Barros). Economics and Policy of Energy and Environment, 2, 147–171, 2021.

"A influência do nível de transparência da gestão pública na quantidade de disclosure informacional dos municípios capixabas" (with P.S.T. da Silva, D. Monte-Mor). Revista Mineira de Contabilidade, 2019.

"Corrupção e valor de mercado: os efeitos da Operação Lava Jato sobre o mercado de ações no Brasil" (with E.C.C. de Araújo, D.S. Monte-Mor, R.D. Correia). Revista Catarinense da Ciência Contábil, 2018.

"O que se tem pesquisado sobre Sustentabilidade Empresarial e sua Evidenciação?" (with V. Nossa, S.N. Nossa). Revista de Educação e Pesquisa em Contabilidade, 2017.

"Relação entre desigualdade de renda e crescimento econômico nos municípios brasileiros: o que mudou na década 2000–2010?" (with R.T. Rodrigues, D.S. Monte-Mor, B. Funchal). Contextus, 2016.

Econometrics: Causal inference, randomized evaluation design, modern DiD, RDD, IV, synthetic control, panel data, time series, and quasi-experimental research designs

Programming: Python, R, SQL, Stata; Pandas, scikit-learn, tidyverse, fixest, NLTK; Git, CI/CD, and automation

Data & ML: ETL, AWS, NLP, LLMs, supervised learning, web scraping, data visualization, dashboards, and geospatial analysis

Communication: Technical writing, policy briefs, applied teaching, documentation, presentations, and translation of quantitative results into actionable insights