Summary
Bingnan Li is a GIS Developer and PhD candidate with roughly a decade of experience applying machine learning, deep learning, and NLP to spatio-temporal and remote sensing problems. He has built production-grade geoprocessing pipelines and cloud migrations, automated end-to-end environmental risk workflows that cut processing from hours to minutes, and commercialised statewide spatial datasets via Snowflake. His research and industry work span epidemic intelligence, social media–driven early-warning systems, and AI-driven map generation (including novel Res-U-Net variants for building and road extraction). Equally comfortable in Python, R, C and C#, he combines algorithmic R&D with pragmatic automation (e.g., PyAutoGUI desktop scraping and AWS/S3 integrations) to turn complex geospatial science into operational tools. Based in Sydney, he brings a rare blend of academic depth and production delivery across environmental and urban intelligence domains.
8 years of coding experience
9 years of employment as a software developer
Master's degree, Cartography and Geographic Information Systems, Master's degree, Cartography and Geographic Information Systems at East China Normal University
Visiting PhD Researcher, Geospatial Data Mining, Visiting PhD Researcher, Geospatial Data Mining at Tsinghua University
UNSW Sydney
Chinese, English