Assessing political bias and value misalignment in generative artificial intelligence
Measures political preferences and value alignment in generative AI systems.
Economist working on causal inference, public policy, political economy, and large language models.
I have a Bachelor's degree in Economics and an M.A. in Public Policy from Insper. I have professional and academic experience in data analysis, focusing on applied econometrics and machine learning.
I spend most of my days running acceptably biased OLS models. I also communicate science and teach econometrics through @econometriafacil (200,000+ followers), and write the Econometria Fácil column at Folha de S.Paulo.
Assessing political bias and value misalignment in generative artificial intelligence
Measures political preferences and value alignment in generative AI systems.
Economic conditions and voting behavior
Studies how local economic conditions shape electoral behavior.
Natural disasters and financial technology adoption
Examines whether natural disasters accelerate adoption of digital financial services.
From Association to Explanation: Strengthening Research Design and Causal Reasoning in Accounting Scholarship
Shows how stronger research design can move accounting studies from association toward causal explanation.
Educational platform with 200,000+ followers, focused on econometrics, causal inference, and data analysis.
InstagramColumnist for Econometria Fácil, writing about evidence, policy, data, and public debate.
ColumnInsper highlighted the international impact of my research on ChatGPT political bias and my work in science communication.
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