Daniel Lobo (he/they) is a Ph.D. student in sociology at the University of California-Berkeley, with specializations in political economy and the sociology of organizations and markets (joint with the Management of Organizations (MORS) group at the Haas School of Business). As an economic sociologist, his research agenda focuses on documenting and measuring: (1) the effects of race and racism on our political economy; (2) the social processes that reproduce race, gender, and class inequality in schools and workplaces; and (3) the social, rather than purely economic, consequences of upward mobility.

To date, most of his research has been focused on inequality in undergraduate data science education, a rapidly growing STEM field. He also has a project at the intersection of race and political economy (forthcoming at APSR) that advances a theory regarding how and why divergent perceptions of fairness among Black and white Americans lead to differences in support for U.S. trade policy. His dissertation research, tentatively titled “Towards a theory on the causes, contours, and consequences of 'culture add' (as opposed to 'culture fit') hiring in elite firms,” uses qualitative and experimental methods to determine the extent to which this emergent evaluation paradigm may or may not reduce labor market inequality.

Daniel's research has been supported by the Mellon Foundation, the American Council of Learned Societies, the National Science Foundation, the National Institutes of Health, and the Berkeley Economy and Society Initiative. He holds an A.B. in social studies, with high honors, from Harvard University and a M.A. in sociology from UC Berkeley. Outside of academia, Daniel enjoys hiking, lifting, traveling, live music, meditation, all things Oakland, and spending time with loved ones. He identifies as Black (ethnically Cape Verdean), queer, and of the working class. He is also a first-generation American and college graduate.