Glenn Moncrieff is a Spatial Data Scientist with a decade of experience applying machine learning, probabilistic modelling and cloud-native remote sensing to conservation and climate challenges. He bridges academia and practice—publishing in leading journals, co-authoring IPCC contributions, and translating research into operational monitoring tools used by policy makers and conservation managers. At The Nature Conservancy and SAEON he has built scalable pipelines and Bayesian models that convert sensor and imagery data into actionable ecosystem intelligence. Comfortable across the full data stack, he deploys distributed computing and tools like xarray and Google Earth Engine to take prototypes into production. He also mentors early-career researchers, bringing pedagogy and rigorous reproducible workflows to teams. Based in Cape Town, he combines deep ecological training (PhD in Physical Geography) with pragmatic data engineering to accelerate biodiversity monitoring.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Physical Geography, Doctor of Philosophy - PhD, Physical Geography at Goethe University
Master of Science - MS, Ecology, Master of Science - MS, Ecology at University of Cape Town
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