PhD from the Warwick Business School
Danilo’s research brings together the knowledge provided by the computer science literature to solve unattained financial research questions. He leverages machine learning, big data, and natural language processing methods to understand companys’ time-varying risk and price asset classes. Moreover, Danilo was on the Doctoral Program Committee and part of the Student-Staff Liaison Committee at WBS. While at WBS, he taught various modules related to management and econometrics, such as corporate finance, investment management, Global Environment of Business and MATLAB.