Summary
Jaume Vives is a postdoctoral researcher and economist-data scientist with nine years of experience applying econometrics, game theory, and machine learning to empirical and policy-relevant problems. Trained as a PhD in Economics and Statistics at MIT and now at Stanford GSB, he blends rigorous theoretical work with practical data-science projects—from Bayesian synthetic controls at Google to measuring latency rents in financial markets. His background spans top academic and industry settings (MIT, Stanford, Google, Chicago Booth), strong programming experience in applied ML pipelines, and a history of building research software for game-theoretic analysis. Based in Barcelona, he combines international training (LSE, Berkeley, Warwick) with a demonstrated interest in pushing ML/AI to generate new economics questions and better policy design. Less obvious: he co-founded a university ML society and has built end-to-end model deployment tools, reflecting both community leadership and production-minded research.
9 years of coding experience
2 years of employment as a software developer
Bachelor’s Degree Economics and Computer Science, Bachelor’s Degree Economics and Computer Science at University of California, Berkeley
High School Completed simultaneously the Scientific Spanish Bachillerato and the International Baccalaureate., High School Completed simultaneously the Scientific Spanish Bachillerato and the International Baccalaureate. at Aula Escola Europea
Game Theory Summer Program Mathematics, Game Theory Summer Program Mathematics at University of Warwick
Doctor of Philosophy - PhD Economics and Statistics, Doctor of Philosophy - PhD Economics and Statistics at Massachusetts Institute of Technology
London School of Economics and Political Science
English, Spanish, Catalan, French