Summary
Xiaojiang Li is an Assistant Professor of Urban Spatial Analytics at the University of Pennsylvania and co-founder of Biometeors, combining academic research with entrepreneurial application of geospatial science. With eight years of experience spanning MIT Senseable City Lab and Temple University, he pioneers the use of machine learning and street-level imagery (e.g., Google Street View) to quantify urban landscapes and microclimates. He led the Treepedia project and has secured funding from NSF, NASA, and Microsoft to study extreme heat impacts and heat vulnerability across neighborhoods and racial/ethnic groups. His work sits at the intersection of urban analytics, spatial data science, and environmental health, translating large-scale geospatial data into actionable planning insights. Trained with a PhD in GIScience and Urban Geography, he blends remote sensing, AI, and design to tackle socio-environmental challenges. Less obvious: he bridges methodological innovation and policy relevance by producing tools and maps that city planners and communities can directly use.
8 years of coding experience
8 years of employment as a software developer
Master of Science (MS) Remote Sensing, Master of Science (MS) Remote Sensing at Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
Doctor of Philosophy (Ph.D.) GIScience and Urban Geography, Doctor of Philosophy (Ph.D.) GIScience and Urban Geography at University of Connecticut
Bachelor’s Degree Environmental Science, Bachelor’s Degree Environmental Science at Henan University
English, Chinese, Japanese