Summary
Song Gao is a Professor of GIScience with a decade of experience specializing in GeoAI, spatial data science, and geospatial big data analytics, currently based in Santa Barbara. He progressed through academia at the University of Wisconsin–Madison from assistant to full professor, blending rigorous research in spatio-temporal analysis, trajectory mining, and human mobility with applied work in spatial databases and semantics. An active journal editor and long-time peer reviewer for PNAS, he bridges theoretical spatial modeling and practical GIS platforms like ArcGIS, informed by early industry internships at Esri and Apple Maps. Song is also engaged in the international GIS community as a board member of CPGIS, reflecting a commitment to mentoring and global collaboration beyond his lab. Unusually for an academic, he maintains a hands-on developer mentality—his GitHub identity “GIS Guy” underscores ongoing engagement with geospatial tooling and prototype-driven R&D.
10 years of coding experience
6 years of employment as a software developer
B.S, Geographic Information Systems and Remote Sensing, B.S, Geographic Information Systems and Remote Sensing at Beijing Normal University
M.S., Cartography and Geographic Information Systems, M.S., Cartography and Geographic Information Systems at Peking University
Doctor of Philosophy (Ph.D.), Department of Geography, emphasis on Geographic Information Science, Doctor of Philosophy (Ph.D.), Department of Geography, emphasis on Geographic Information Science at University of California, Santa Barbara
Chinese, English