Summary
Daniel Hobley is a senior environmental modeller and scientist with over a decade of experience building and deploying gridded, time-explicit Earth-surface and hydrological models for research and policy applications. At ADAS he leads development of decision-support tools such as the Land Use Choices Tool and a major rework of Irriguide, translating complex eco-hydrological science into reproducible, test-driven software. He combines deep domain expertise in sediment transport, surface water hydrology and land-use/climate impacts with strong numerical, Bayesian and Monte Carlo methods, and a track record in managing large geospatial datasets. A Fellow of the Software Sustainability Institute, Dan is as committed to software testing, reproducibility and sustainability as he is to modelling, an uncommon blend that helps bridge academic rigour and operational delivery.
12 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Geological and Earth Sciences/Geosciences, Doctor of Philosophy - PhD, Geological and Earth Sciences/Geosciences at The University of Edinburgh
MSci, Natural Sciences (Geological Sciences), MSci, Natural Sciences (Geological Sciences) at University of Cambridge