I grew up in Italy playing chess with my father, fascinated by numbers and risk under uncertainty long before I understood what quantitative finance actually was. That curiosity led me to Bocconi University, where I studied Economics, Management and Computer Science, splitting my time between advanced mathematics and machine learning on one side and derivatives pricing and econometrics on the other. Along the way I couldn't sit still. I founded and led Bocconi Students Quantitative Finance, Italy's first quant finance student association, and also took on the presidency of the Bocconi Statistics and Data Science Association, building teams and research divisions from nothing. I chased that same hunger for building things into internships, first in portfolio management at Fideuram Intesa Sanpaolo, then in data science consulting at EY Milan. I brought that same focus to research at Bocconi's AI Lab, where I worked on reinforcement learning under the university's Computing Sciences faculty. I then spent a semester on exchange at Georgia Tech, studying Computer Science and applying machine learning straight to financial markets. Now I'm bringing all of it to CMU, aiming for a career in quantitative research and systematic trading. Let's connect, I'd welcome the chance to talk through how this background translates into value for your team. 听
