I am an Assistant Professor of Marketing at Bocconi University. My research focuses on quantitative and empirical methods, with particular interests in causal inference, machine learning, pricing, platform analytics, and user-generated content. I study how digital information environments—such as online reviews, status recognition, and product recalls—shape consumer search, firm strategy, and market outcomes.
I received my PhD in Marketing (with Distinction) from INSEAD and also hold a PhD in Management from Sorbonne University. Before pursuing my doctoral studies, I worked as an economist and policy analyst, gaining experience in public policy and applied economic research. I earned MSc degrees in Economics from Nova School of Business and Economics and from Corvinus University of Budapest.
