About

I am an economist and data scientist at Mercado Libre. Prior to this position, I was a lecturer in statistics and econometrics at the Princeton School of Public and International Affairs. My research applies quantitative methods, drawing from econometrics, statistics, and machine learning, to better understand the decisions of people and firms.

I hold a PhD in economics from Princeton, where I was also a Social Data Science graduate fellow. In parallel to my graduate studies, I was also a research affiliate and project manager at ConsiliumBots.

Much of my work so far revolves around using economics and data science to better understand the decisions of people and firms. At ConsiliumBots, I led the design and implementation of different chatbots (like OsoBot) that helped students make better-informed educational decisions. Part of this project is analyzed in my job market paper, which uses multiple experiments to study the effects of different types of information on the choice of college loans.

Before graduate school I was a research assistant at the NBER, where I worked with professor Christopher Neilson on different education projects that combined information, decision-making, and market design. I also held the same position for two years at J-PAL LAC, working with Chris, as well as with professors Dina Pomeranz, Sebastián Bustos and Gabriel Zucman, in both Chile and the Dominican Republic. During this time I also helped José de Gregorio revise the 2^nd edition of his Macroeconomics book. Before working as an RA, I was a high-school math and physics teacher at Colegio Antares, a small school in the outskirts of Santiago, Chile. This role came as a part of my involvement with Enseña Chile, an NGO adhering to the Teach for All model.