Calvin Lee is an environmental quantitative researcher and adjunct assistant professor based in Hong Kong, with nine years’ experience applying remote sensing and machine/deep learning to spatially-explicit conservation, ecosystem restoration, and monitoring. He bridges academia and industry—lecturing on TNFD, Nature-based Solutions, and corporate nature strategy at The University of Hong Kong while consulting at ERM—to deliver data-driven, commercially relevant tools for managing climate and nature risk. His PhD work advanced the use of remotely sensed data within the IUCN Red List of Ecosystems framework, enabling scalable, non-invasive risk assessments. Known for supervising and upskilling students in analytics and programming, he consistently translates complex environmental science into actionable decision-support for stakeholders under tight timelines. An understated strength is his breadth of field and technical experience, from SONAR and kelp mapping to teaching GIS and statistics, which gives him practical insight across terrestrial and marine systems.
9 years of coding experience
4 years of employment as a software developer
Tonbridge School
Doctor of Philosophy - PhD Environmental Science, Doctor of Philosophy - PhD Environmental Science at Deakin University
Contributions:6 commits, 7 pushes, 1 branch in 2 months
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