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Danilo Messinese
Danilo Messinese’s is a Post-Doctoral fellow at Strategy Department at IE University. His research interest is focused on entrepreneurial strategy and decision-making under uncertainty. He studies how the adoption of theory-driven and design-driven strategies impacts the formation and growth of new ventures as well as how firms deal with uncertain contexts. His approach consists in testing formal economic theories and models by running field/lab experiments involving managers and entrepreneurs.
Danilo also launched pre-acceleration programs for early-stage start-ups around the world where he has worked with more than 1,000 entrepreneurs. In his role, he combines the latest management practices with research insights to help deliver cutting-edge training and mentorship programs.
Danilo holds a Ph.D. in Management and Business Administration from Bocconi University, Milan. 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 experience as Management Consultant at Bain & Company. He advises companies and venture capital firms about data-driven strategies implementation.
Academic Experience
• Post-Doctoral Fellow, IE University, Spain, 2023 - Present
• Research Associate, Bocconi University, Milan, 2022 – 2023
Academic Background
• Ph.D. in Management and Business Administration, Bocconi University, Italy, 2022
• Post Graduate degree in Mathematical Finance, University of Bologna, Italy, 2015
• MSc in Theoretical Physics, University of Bologna, Italy, 2014
• BSc in Physics, University of Bari, Italy, 2011
Corporate Experience
• Director, InnoVentureLab/IdeaStartup Lab, Italy/India, 2020 - Present
• Consultant, Bain & Company, Italy, 2015 - 2017
• Group Liquidity and Interest Rate Analyst, Unicredit Group, Italy, 2014 - 2015
Selected Publications
• Camuffo A., Gambardella A., Messinese D. (2023). “Bayesianism and Unforeseen Events: Empirical Evidence from Two Field Experiments” Academy of Management Proceedings 2023 (1)
• Messinese D. (2022) “Exploring with Predictive and Control Strategies under Uncertainty”. Academy of Management Proceedings 2022 (1)
• Camuffo A., Gambardella A., Messinese D., Novelli E., Paolucci E., Spina C. (2021). “A scientific approach to innovation management: Evidence from four field experiments”. Centre for Economic Policy Research
