Welcome!

I am a third-year PhD candidate in Quantitative Marketing at Bocconi University.

My research lies at the intersection of marketing, health, and consumption. I employ econometric models and machine learning techniques on multiple sources of data, including GPS tracking, social media user-generated content, web-scraped and textual data, and images.

I am particularly interested in how digital and physical environments shape health-related and sustainable consumption behaviors.

I am also a lecturer in a compulsory first-year MSc course, where I teach how to leverage applied statistics with Python to make data-driven strategic decisions.