Spatial Data Science:
Wenfei is an urban planner, data scientist, and designer whose research uses data-driven methods to understand the geographies of urban inequality. Her current project investigates the historical impacts and contemporary socio-spatial legacies of redlining practices in American cities. She has worked in mapping, data, and design organizations including CARTO, the Civic Data Design Lab, Stamen Design and Senseable Cities Lab at MIT. She is currently pursuing her Ph.D. in Urban Planning at Columbia GSAPP.
Wenfei’s previous projects address housing vacancy in China using crowd-sourced data, informal commerce and cultural identities in ethnic communities in Los Angeles, citizen-driven pollution documentation in China, and informal transit in Nairobi. Wenfei’s work has appeared in Wired, the Economist, NPR, Audi Urban Future Initiative, The Guardian, Atlantic Cities, as well as in the Seoul Biennale of Architecture and Urbanism, the Lousiana Museum of Modern Art, and the Istanbul Biennale.