My research investigates multiple dimensions of inequality in the United States, identifying processes that create stratification by class, race, and gender and exploring the experience of navigating unequal landscapes. My dissertation examines how security strategies in an elite suburb in the San Francisco Bay Area perpetuate inequality by race and class. I use in-depth interviews and participant observation with residents of an affluent enclave to shed light on how elites understand, contribute to, and justify inequality across neighborhood lines.
Through multiple collaborative projects, I explore how biases permeate research practices, workplaces, and residential neighborhoods to produce systematic advantages for some while disadvantaging others. I have worked with interdisciplinary teams at Stanford University’s Clayman Institute for Gender Research and Center on Poverty and Inequality, as well as Princeton University’s VizE Lab for Ethnographic Data Visualization.
My teaching aims to engage students around issues of social inequality and equip them with analytical and methodological skills to investigate their worlds. In sociology classrooms, at Stanford’s Social Science Data & Software Center, and at Princeton’s Writing Center, I incorporate approachable materials, varied teaching techniques, and active learning exercises to create an inclusive learning experience that prepares students to think critically and rigorously about social issues.