I am a Ph.D. Candidate in the Political Science department at MIT, where I specialize in political economy and quantitative methods. My research explores the political effects of firm strategies, the interaction between business and politics, and the relationship between local labor markets and politics. In my work, I use big datasets, surveys and experiments to explore the relationships between firms, local labor markets and politics. My dissertation project centers on the role that firms and workplaces have in shaping anti-system politics. I show that firm-level employment strategies have large effects on perceptions of unfairness and on the development of anti-system political attitudes.
I am a Graduate Student Affiliate at Harvard’s Center for European Studies and a Graduate Research Fellow at MIT GOV/LAB. I received my BA in Political Science (with highest honor) from Universidad Torcuato Di Tella in Buenos Aires, where I also completed the coursework for the Master in Political Science.
Ph.D. in Political Science, 2017 - to date
Massachusetts Institute of Technology
Master in Political Science, 2014 - 2017 (coursework completed)
Universidad Torcuato Di Tella
BA in Political Science & Government, 2012
Universidad Torcuato Di Tella
Massachusetts Institute of Technology
Machine Learning and Data Science in Politics (undergraduate). Spring 2020. Teaching Assistant for In Song Kim.
Quantitative Research Methods I (graduate). Fall 2019. Teaching Assistant for Daniel Hidalgo.
Political Science Math Prefresher (graduate). Summer 2019 & 2020. Instructor.
Convolutional Neural Networks and Image Classification (graduate). April, 2020. Instructor.
Political Institutions & Government (undergraduate). 2015 - 2017. Teaching Assistant for Ana María Mustapic.
Comparative Politics (undergraduate). 2014. Teaching Assistant for Ana María Mustapic.