Angela Li

Bio/Description

Angela is a doctoral student in Sociology and Social Policy with a focus on spatial inequality and urban policy. She holds a BA in Economics and Public Policy Studies from the University of Chicago. Prior to her degree, she worked at a transit startup and conducted research at the Center for Spatial Data Science. Her thesis work focused on the impact of demolition policy on neighborhoods within Detroit, MI in context of the Great Recession. 

Her dissertation digs into the relationship between homeownership, home prices and social policy in the contemporary US, using data from the Census, georeferenced survey responses, and large-scale administrative data records. More broadly, she is interested in the way that housing wealth as "real estate" is implicated in spatial inequality in the US. By shedding light on institutions and policies that create unequal spatial interests, her work aims to inform housing policy and effective place-based interventions.

Angela has a secondary interest in computational social science from her experience doing research with large datasets. She is a Graduate Fellow of Social Data Science with Princeton's Data-Driven Social Science Initiative. In this role, she consults with researchers working with administrative records used to study housing and mobility in the US. She also organizes a series of talks featuring diverse quantitative social science methodologies for an audience of researchers across the social sciences. She is affiliated with the Office of Population Research.

Along with her research, Angela has taught for the Freshman Scholars Institute and participates in Princeton's ReMatch+ research mentorship program. She is completing the Teaching Transcript through the McGraw Center for Teaching and Learning.