Profile
Quantitative researcher specializing in statistical modeling, forecasting, data products, and research engineering.
Experienced in building end-to-end analytical workflows that transform raw data into models, analytical tools, and production-ready research outputs.
Professional Experience
- Lead the Data Science and Modeling team within the Macroeconomic Research department, providing technical leadership and advancing the use of modern data and analytical technologies across research workflows.
- Develop quantitative models and forecasting systems for macroeconomic analysis.
- Build and maintain production analytical infrastructure, including data pipelines, automated reporting, and internal research applications.
- Developed quantitative models and forecasting tools for macroeconomic and financial analysis.
- Integrated alternative datasets into investment research workflows.
- Conducted regional economic analysis and monitoring of economic activity indicators.
- Produced reports and studies supporting public policy discussions and decision-making.
- Developed statistical indicators and analytical tools for economic assessment.
Education
M.S. in Economics, Universidade Federal Fluminense · 2017
B.S. in Economics, Universidade Federal Fluminense · 2013
Publications
Author of R for Economic Research, a practical guide to data analysis, statistical modeling, and forecasting for applied research.
Selected Presentations
Nowcasting when predictors keep changing. Leveraging cross-sectional information in high-dimensional, high-turnover data - International Symposium on Forecasting · Montreal · 2026
Nowcasting Inflation in Brazil Using Web Data - International Symposium on Forecasting · Charlottesville · 2023
Real-time Forecasting COVID-19 Cases Applied to US Regions - International Symposium on Forecasting · Remote · 2020