I do research in the intersection of ML and development economics, with a focus on algorithmic descision making in consumer credit.
Before coming to Berkeley, I spent a couple of years doing research in the financial industry in South America. I received a B.S. in computer engineering, and a B.A. and M.A. in economics from Universidad de los Andes in Bogotá, Colombia.
* Credit Scores That Prioritize Customer Welfare: Theory and Evidence from Nigeria (working paper)
* Incorporating High-Frequency Weather Data into Consumption Expenditure Predictions (ML4D Workshop, NeurIPS 2021)
* A supervised clustering MCMC methodology for large categorical feature spaces (Statistical Methods in Medical Research, 2021)