About

I’m an economist and data scientist passionate about leveraging technology to illuminate complex decision-making processes. With a background spanning academia, consulting, and policy, I now apply my expertise at Revelio Labs, where I analyze high-frequency micro-data to uncover insights into the labor market.

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 going to grad school I was a research assistant at the NBER, where I worked with professor Christopher Neilson on several of his projects. 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.