Alexander Hurley is a data scientist based in Berlin with 11 years’ experience applying statistical and data-science methods to environmental problems, from boreal wetlands to urban tree water use. Holding a PhD in Hydrology and postgraduate data-science training, he blends field-hardened hydrological expertise with R-centric analysis to translate complex environmental processes into actionable data products and policy insights. He has worked across academia, national research centres and government—most recently advising climate policy and now at the Federal Ministry of Food and Agriculture—bringing both rigorous experimental skills and practical modelling experience. Known for cross-disciplinary thinking, he focuses on transferable principles that link terrestrial and aquatic systems and is especially interested in land-use and policy implications of environmental data.
11 years of coding experience
11 years of employment as a software developer
Data Science Certificate, Data Science Certificate at SPICED Academy
Master of Science - MS, Ecology, First Class / Distinction, Master of Science - MS, Ecology, First Class / Distinction at Universidad San Francisco de Quito
Bachelor of Science - BS, Environmental Science, 1.6, Bachelor of Science - BS, Environmental Science, 1.6 at University of Bayreuth
Master of Science - MS, Ecology, First Class / Distinction, Master of Science - MS, Ecology, First Class / Distinction at University of East Anglia
Master of Science - MS, Ecology, First Class / Distinction, Master of Science - MS, Ecology, First Class / Distinction at Université de Poitiers
Doctor of Philosophy - PhD, Hydrology and Water Resources Science, -, Doctor of Philosophy - PhD, Hydrology and Water Resources Science, - at University of Birmingham
Master of Science - MS, Ecology, First Class / Distinction, Master of Science - MS, Ecology, First Class / Distinction at Universidade de Coimbra
Contributions:74 pushes, 2 branches in 6 years 11 months
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