I am an MIT Presidential Fellow studying a Ph.D. in Urban Economics & Statistics at MIT. I began my studies at Centro de Investigación y Docencia Económicas (CIDE), where I earned a BA in Economics. I decided to get a more profound training in Economics, so I embarked on a journey to earn a Masters in Quantitative Economics at the Paris School of Economics (PSE) and the École Normale Supérieure (ENS).
While pursuing my Master’s degree, I worked at the Organisation for Economic Cooperation and Development (OECD), analyzing the connections between public economics, policy, and health care. During these years, I also worked with Innovations for Poverty Action (IPA), learning how to design and conduct a Randomized Contol Trial. During my Master’s degree, I got interested in income inequality and big data, and I decided to write my thesis about top incomes in Mexico. Afterward, I decided to work for the government of Mexico at the Treasury Department. Over there, I was the Director of Economic Policy, where I provided analyses and advice on international and national economic policies, economic and financial risks, and potential public policies to the Chief Economist.
While that was fun, I decided to start my Ph.D. at MIT. The main objective of my research is to understand big societal problems that affect vulnerable populations across the globe. I focus on proposing and evaluating policies to mitigate or eliminate those problems by using big data and empirical methods, such as machine learning and natural experiments. Geographically, I focus on two neighborhood countries: Mexico and the USA. Conceptually, I specialize in two topics: socioeconomic mobility and inequality in Mexico and geographic health inequalities and its macroeconomic determinants in the US.