I'm a Ph.D. candidate in Economics and Statistics at MIT. My primary research fields are econometrics and industrial organization with a particular interest in synthetic control methods and recommendation systems in two-sided platforms. During the PhD I have been a Meta Research PhD Fellow and a La Caixa fellow. Previously, I obtained a BSc. in Econometrics and Mathematical Economics from the LSE (First Class Honours) and worked as a research professional at the University of Chicago Booth School of Business. I also have experience designing causal inference methods at Google, Quantco, and as a consultant for Ivalua (Catalan Government). Starting in September 2025, I will be a Postdoc at Stanford GSB and the Stanford Causal Science Center, and from September 2026, I will join NYU as an Assistant Professor of Economics and Data Science.
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In 2022-2023 I was a statistics consultant for the Catalan office of public policy evaluation (Ivalua) and the Catalan government on the design of a Universal Basic Income pilot program. My work involved designing a representative village level experiment using a small number of treatment units and providing a framework to perform valid statistical inference. As part of the work I extended existing methods in the application of synthetic controls to experimental design (see policy reports).