How can entrepreneurs and management teams organize themselves and utilize information to optimally create and capture value from existing internal resources and resources they have yet to acquire? To answer this question, Professor Wu draws upon theoretical perspectives from organizational economics and strategic management and applies them to large data sets from a variety of organizational settings. He derives all of his research ideas from phenomena he has personally experienced in business. Professor Wu has studied the role of information in organizational decision making by using a phenomenon specific to venture capital—private angel investing by partners in a VC firm in companies that the firm has declined to fund. Such angel investments perform as well or better on some metrics than investments made by the firm, even though the angel-funded companies have less experienced leadership and are weaker on other observable characteristics. Investigating the effect of skilled immigration on U.S. innovation using data from an H-1B visa program lottery, Professor Wu has shown that winning this lottery does not significantly increase patent applications or grants at the firm level. He has also compared across-team and within-team technical experience diversity in biotechnology startups, finding that across-team diversity results in greater firm-level innovation benefits.