Summary
Hyesop Shin is a Faculty Lecturer and researcher based in Auckland who blends agent-based modelling, geospatial science, and machine learning to study how vehicles, people, and environmental factors like air pollution interact. With a PhD in Geography from Cambridge and eight years of experience including postdoctoral research at the University of Glasgow, Hyesop teaches GIS and programming to non-CS students while advancing spatial SQL and crowdsourced geospatial methods. Their work sits at the intersection of transport geography and public health, producing practical models that inform urban movement and exposure patterns. Known to pack both theory and hands-on coding into projects, Hyesop brings academic rigor and applied modelling skills to real-world urban and environmental challenges.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Geography, Doctor of Philosophy - PhD, Geography at University of Cambridge