Gaia Rubera stands as a prominent figure in academic leadership, currently holding the prestigious position of Amplifon Chair in Customer Science and serving as Head of the Marketing Department at Bocconi University and SDA Bocconi School of Management. Her impressive academic foundation was built at Bocconi University, where she earned both her Business Administration degree and PhD in Business Administration and Management. Her career trajectory includes significant roles as Research Manager at the Center for Global Innovation at USC's Marshall School of Business from 2007 to 2008, followed by a position as Assistant Professor at Michigan State University from 2008 to 2012. As a respected scholar, Rubera's research expertise encompasses Business Analytics, Social Media Marketing, Innovation and New Product Development, Strategic Marketing, and Design Innovation and Creativity. Her influence in academia extends through her role as Director of the online program "Fundamentals of Python" and her teaching of Social Media Marketing in the MBA full-time program at SDA Bocconi. Her scholarly contributions have found homes in prestigious publications including Marketing Science, Journal of Marketing, Strategic Management Journal, and Journal of the Academy of Marketing Science. Her academic leadership is further demonstrated through her position as Associate Editor of the Journal of the Academy of Marketing Science and her membership on the editorial boards of the Journal of Product Innovation Management and Journal of International Marketing. She also contributes her expertise as a member of the Academic Committee of the Product Development Management Association, solidifying her status as a leading voice in marketing and innovation research.

Francesco Grossetti serves as an Assistant Professor of Accounting Analytics and Data Science at Bocconi University, bringing a unique blend of astrophysics and computational expertise to financial analytics. With a background in Astrophysics and Space Physics from Università Degli Studi di Milano-Bicocca and a PhD in Applied and Computational Statistics from Politecnico di Milano, he specializes in computational and statistical approaches to analyze corporate behavior and investor perceptions. His research employs advanced Natural Language Processing techniques, Deep Learning-based Computer Vision methods, and Blockchain applications in accounting practices. At Bocconi, he directs and teaches several cutting-edge courses including "Big Data for Business Decisions," "Introduction to Blockchain," and "Computational Applications For Accounting," consistently receiving exceptional student evaluations. His scholarly work has been published in prestigious journals, and he has secured multiple research grants, including the CIVICA Research Grant for executive compensation research and Bocconi research grants for corporate reporting studies. As an active contributor to the academic community, he serves as a reviewer for numerous journals and maintains a strong commitment to developing open-source tools for financial analysis