معرفی
Francesco Grossetti is Assistant Professor of Accounting Analytics and Data Science at Bocconi University, with a Ph.D. in Applied and Computational Statistics from Politecnico di Milano. His research develops computational approaches for analyzing corporate disclosures using NLP and computer vision techniques, with additional focus on blockchain implications for accounting practices.
His interdisciplinary work bridges financial mathematics, stochastic modeling, and accounting innovation. Research examines volatility modeling calibration puzzles, textual characteristics in financial reports, blockchain accounting applications, and corporate governance language patterns. Methodologies include machine learning, entropy-based calibration, and sports analytics for tournament fairness.
Recent projects include EXECML (analyzing executive compensation disclosures via machine learning) and multi-modal corporate communication studies. He serves on editorial boards for Finance & Stochastics, SIAM Journal on Financial Mathematics, and Quantitative Finance, reflecting his cross-disciplinary expertise.
