Jorge Guzman is an assistant professor at the Management Division in Columbia Business School. Jorge received his PhD from the Sloan School of Management at MIT, and was previously a postdoc at the National Bureau of Economic Research (NBER) and a lecturer at MIT Sloan. His research uses machine learning and predictive modeling to study on entrepreneurship policy, regional entrepreneurship, and entrepreneurial strategy. He was previously involved in the Boston startup ecosystem, and has been an advisor to numerous startups on varied topics, and to regional and national policy agencies on the design of entrepreneurship ecosystems.