Danilo Messinese
Post Doc in Management at Bocconi University, Milan
Danilo's main areas of interest are Strategies under uncertainty, Optimal experimentation, Field experiments.
Danilo is currently working as Post-Doc in Business Administration and Management at Bocconi University, where he took his Ph.D. (cum laude) in the same field. He came to his doctoral program with a master’s degree in Theoretical Physics and a specialization degree in Mathematical Finance (cum laude), both at the University of Bologna, and some experience as consultant for Bain & Company, and as risk analyst for a top tier bank.
These experiences helped him during his doctoral studies to develop a research agenda centered around how managers and entrepreneurs can effectively make strategic commitments in the face of uncertainty by adopting different strategies to acquire information.
Specifically, his research tries to help answer two interrelated questions:
(1) what is the most efficient way for strategists to acquire information?
(2) how does this impact firms’ strategy and performance?
Danilo's research adopts formal modelling, large field experiments with entrepreneurs and managers, and simulation games he developed.
He teaches courses in Management, Data driven analysis and decision-making, Computational applications in management, among the others.
Consistent with his research, he is the Director of two pre-acceleration programs: Idea to Startup Lab, organized in collaboration with Indian School of Business and run online in India and InnoVentureLab, organized in collaboration with Polytechnic of Milan and Polytechnic of Turin, Italy, working with more than 1,000 entrepreneurs.
As mentioned, Danilo developed a Simulation game "Startup Legend" (email me if you want to play it!) to replicate and test my research ideas in a simulated reality.
Recently he started working on Venture Capital investment process, studying the type of biases that experts show in screening startups by analyzing data from a top US accelerator.
