Dan Wang teaches the core MBA class in Strategy and Ph.D. classes in Organizational Theory. His research analyzes how social networks facilitate the transfer and transformation of knowledge across organizational and cultural boundaries. His main project focuses on 'reverse brain drain', or how the return migration of skilled professionals catalyzes the flow of knowledge, practices, and technologies to different parts of the world. In this area, he has also studied entrepreneurship and reverses culture shock among returnees. In other work, he has analyzed the implications of different patterns of venture capital investment syndication for the innovation and exit performance of portfolio firms. Here, he has utilized large-scale data to understand syndication outcomes in both the U.S. and China context. He has also contributed to an organizational understanding of social protest outcomes, using relationships across social movement actors and organizations to predict innovation, knowledge sharing, and strategic choice across activist groups. Finally, methodologically, he has contributed to the development of data science techniques for understanding peer influence and information cascades in the social networks formed by massive online communities. His work has been published in Administrative Science Quarterly, Academy of Management Journal, American Sociological Review, American Journal of Sociology, Social Forces, Social Networks, and Theory and Society. He has also contributes to practitioner oriented publications such as Strategy+Business. His work has also been cited in CNN Money and the Wall Street Journal. His research has also been recognized with awards from the Kauffman Foundation and the Academy of Management.