NLPstudio
Scalable, reproducible NLP workflows in R — corpus preparation, dictionaries, readability, similarity, and a consistent topic-model API across backends. Built on…
I am an Assistant Professor of Accounting Analytics and Data Science at the Department of Accounting at Bocconi University, a Fellow at the Bocconi Institute for Data Science and Analytics, and a member of the Bocconi Digital Transformation and AI Committee.
I study core questions in accounting and finance — corporate disclosure and its consequences for firm tax outcomes, investor reactions to multi-dimensional financial narratives, and the dynamics through which corporate information reaches the market — using Natural Language Processing, machine learning, and computational statistics on large-scale textual and multimodal financial data. Methodologically, I draw on statistical learning and stochastic processes for sequential data, which let me model how corporate information evolves over time (disclosure cascades, topic model identification, and more).
My work has appeared in the Review of Accounting Studies, the Journal of Machine Learning Research, the Journal of Accounting and Public Policy, and other outlets.