Research
Research interests, affiliations, and ongoing projects
Affiliations
Data Scientist @ AtlasIntel
AtlasIntel provides advanced data products for political intelligence and economic forecasting. My work involves calibrating survey samples, political analysis, public opinion monitoring, and improving internal data pipelines.
Researcher @ IESP-UERJ
MAPE · coordinated by Fernando Meireles & Bruno Schaefer
Policy and Election Monitoring and Evaluation Laboratory. Dedicated to studying public policy, elections, and their interconnections using causal inference and machine learning techniques.
DOXA · coordinated by Fernando Meireles & Argelina Cheibub Figueiredo
Laboratory of Electoral Studies, Political Communication and Public Opinion. A leading center for research on electoral processes, political communication, and voting behavior in Brazil.
NECON · coordinated by Fabiano Santos
Center for Studies on Congress. Focused on academic research on the Brazilian legislature, including databases on nominal votes, party migration, and legislative production.
Before joining AtlasIntel, MAPE, DOXA, and NECON, I provided data science and research consulting services to both industry (Roberto Marinho Foundation, Artplan, Visagio) and academia (FGV EBAPE, CEBRAP, GENI/UFF). See my CV for a full record of my professional experience.
Ongoing Projects
A Systematic Review of Text-as-Data Approaches to Parliamentary Behavior
A structured, reproducible review of how computational text methods have been used to study legislative organization. The paper applies text-as-data tools to the review process itself, using abstract embeddings to map the field semantically. To be presented at XIII ALACIP (Buenos Aires, 2026).
Da gaveta ao plenário: os caminhos da aprovação de pautas na Câmara dos Deputados
An analysis of the determinants of agenda approval in the Brazilian Chamber of Deputies, combining quantitative analysis of legislative proposals with party coordination indicators. Joint work with Lucas Calabró Berti (IESP-UERJ). To be presented at ABCP 2026.
Quantos votos meu partido vai fazer? Prevendo o vote share nos municípios brasileiros
A predictive model for party vote share at the municipal level in Brazil, drawing on electoral geography and party organization. Joint work with Tomás Paixão (IESP-UERJ).