Mission Director, Environmental Forecasting at The Alan Turing Institute
Cambridge, England, United Kingdom
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Scott Hosking is a mission-driven AI and environmental scientist with 11+ years of experience building specialized deep learning systems for weather, climate and environmental resilience. He founded the British Antarctic Survey AI Lab and now directs Environmental Forecasting at the Alan Turing Institute, developing fast, accurate AI weather and Earth-system models and pushing safe Environmental Digital Twins into practice. Trained as a climate scientist (PhD, Cambridge) with an MChem background, he blends rigorous domain knowledge with engineering pragmatism to deliver models that outperform traditional approaches in speed, accuracy and accessibility. His career spans academic leadership, national research infrastructure advisory roles, and hands-on deployment in extreme environments — an uncommon mix that accelerates real-world climate decision-making.
11 years of coding experience
5 years of employment as a software developer
MChem (Hons), Chemistry, MChem (Hons), Chemistry at Bangor University
PhD, Climate Science, PhD, Climate Science at University of Cambridge
Practical from "Boost Your Research Reproducibility with Binder" workshop (The Turing Way)
Contributions:21 commits, 20 pushes, 1 branch in 6 months
workshopturingpracticalreproducibilityboost
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Scott Hosking - Mission Director, Environmental Forecasting at The Alan Turing Institute