Linna Zhu is a senior research associate in the Housing Finance Policy Center at the Urban Institute. She conducts data-driven quantitative research on policy issues related to US mortgage finance, housing supply, and racial inequality. Central to her current work is how to ensure individuals and communities can equally adapt to technological advancements, such as artificial intelligence, demographic shifts (e.g., a rapidly aging population), and the adversities posed by climate change. Zhu has published widely noted research articles on such topics as algorithmic bias in automated valuation models, artificial intelligence in mortgage lending, the Community Reinvestment Act, aging in place, housing security at older ages, intergenerational wealth transfer, AAPI homeownership, housing supply, and local planning responses. Her work has been cited in notable media outlets, including the New York Times, the Washington Post, USA Today, Marketplace, National Mortgage News, and CNBC. Her research has been published in leading academic and policy journals, such as Regional Science and Urban Economics and Cityscape. She serves on the advisory board of the Design Thinking Executive Program at the University of California, Riverside. Zhu holds a BA in economics from Renmin University of China, an MS in finance from Johns Hopkins University, and a PhD in public policy and management from the University of Southern California.