Marco Guerzoni is a co-founder of Despina, the Big Data Lab at the Department of Economics and Statistics, where he is associate professor of applied economics. He teaches Data Science for Business Intelligence, Entrepreneurship, Economics of Innovation and Technology policy. His research area covers management and economics of innovation, technology policy, advanced data science. He has been recently working on the methodological implications of big-data and machine learning for business and in social science with a focus on the issues of model selection, inference, and hypotheses mining. He has published in international journal such as for instance Research Policy, Cambridge Journal of Economics, Italian Journal of Applied Statistics, Journal of Evolutionary Economics. He coordinates the specialization Complexity and Innovation of the doctoral program. He is also member of BRICS-Collegio Carlo Alberto and ICRIOS-Università Bocconi.