Summary
Zongrong Li is an interdisciplinary GeoAI researcher with 8 years of experience applying remote sensing, street-view imagery, and multi-source data fusion to urban science and human-environment interactions. Currently a research assistant at HKUST’s AI4City Lab and USC’s Spatial Sciences Institute, he develops tools like StreetViewLLM and integrates optical, thermal, and demographic data for wildfire and disaster impact analysis. His work spans deep learning (CNNs, GNNs), Google Earth Engine analyses of global flood and recovery patterns, and scalable urban data pipelines—skills honed through projects that processed terabytes of urban data and validated models for environmental justice studies. Comfortable bridging academia, government, and industry, he has translated spatial analyses into operational insights (e.g., sales mapping and decision dashboards) and brings a strong quantitative grounding from USC and a forthcoming PhD focus at Texas A&M. A practical thinker, he blends chain-of-thought LLM techniques with street-level vision to extract geospatial semantics that traditional pipelines often miss.
8 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Spatial data science, 3.95, Master of Science - MS, Spatial data science, 3.95 at University of Southern California
Ph.D, Geographic Information Systems, Ph.D, Geographic Information Systems at Texas A&M University
Bachelor of Economics, Banking, Corporate, Finance, and Securities Law, 3.67, Bachelor of Economics, Banking, Corporate, Finance, and Securities Law, 3.67 at Nanjing Audit University