Organizations see through data.That visibility is produced, and it's distributed unevenly.
I study the strategic choices organizations make about digital observation — how firms use technologies to see, and who ends up in the frame.
I’m a sociologist and organizational scholar studying how organizations use digital technologies to learn about the world around them.
I combine organizational theory with digital audit experiments and large-scale computational data collection to examine how technologies produce new forms of organizational knowledge while simultaneously generating unequal access to information, privacy, and opportunities.
My dissertation examines how organizations produce visibility and how the resulting exposure gets distributed across groups. Across three empirical studies, I examine how organizations differ in their data collection strategies, how these strategies combine with user behaviors to produce unequal levels of visibility, and how political conflict propels the expansion of surveillance technologies into private everyday life.
Before beginning my doctoral studies, I worked as an institutional researcher at the University of Michigan, building the data systems that senior leadership used to understand university operations and inform decision making. I hold a BA in Sociology and Afroamerican and African Studies from the University of Michigan and an MA in Educational Policy and Leadership Studies from the University of Iowa.
I am on the 2026–2027 academic job market.
