I am a Ph.D. candidate in marketing at Bocconi University. As a quantitative researcher, my work focuses on two main areas: social media and AI. I study the interaction between social media networks, consumer perceptions and behaviors, and brand outcomes and leverage generative AI to simulate market responses and uncover patterns in complex, large-scale data. Beyond econometric modeling, I employ advanced machine learning methods, including natural language processing (NLP) and large language models (LLMs), throughout my research.
Before joining Bocconi, I earned my Master’s degree in Computer Science and gained industry experience in developing solutions to optimize business processes and customer engagement.