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Xiaojiang Li is an Assistant Professor in Urban Spatial Analytics at the Stuart Weitzman School of Design at the University of Pennsylvania. His research focuses on Urban Analytics and Geospatial Data Science, addressing challenges related to Urban Resilience and Climate Change. His work includes investigating urban environmental health and applying Google Street View in machine learning studies of urban landscapes, as demonstrated in the Treepedia project, which aims to map and quantify streetscapes in cities worldwide. Li employs GeoAI and urban analytics to model urban microclimates and support research funded by NSF, NASA, and Microsoft, particularly on the impacts of extreme heat on pedestrians and the heat vulnerability of neighborhoods, particularly among diverse racial and ethnic groups. He was selected as one of the 50 Rising Stars in Geospatial World and received the Global Young Scientist Award at the World Geospatial Developers Conference in 2021. His contributions have been recognized in major media outlets including TIME, Scientific American, the Wall Street Journal, Forbes, and Wired.
Wharton Doctoral programs cover fields like Finance, Marketing, Management, and Operations, Information and Decisions.