Scott Hosking

Mission Director, Environmental Forecasting at The Alan Turing Institute

Cambridge, England, United Kingdom
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Summary

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Senior
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Top School
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.
code11 years of coding experience
job5 years of employment as a software developer
bookMChem (Hons), Chemistry, MChem (Hons), Chemistry at Bangor University
bookPhD, Climate Science, PhD, Climate Science at University of Cambridge
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Github Skills (44)

volumes10
image-processing9
python9
image-analysis9
computer-vision9
machine-learning8
typescript8
environmental-monitoring8
station8
climate-model8
data-science8
microsoft7
electron7
environmental7
vscode-extension7

Programming languages (8)

TypeScriptC#ShellTeXJavaScriptHTMLJupyter NotebookPython

Github contributions (5)

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scotthosking/mf_modelling

Nov 2020 - Oct 2022

Contributions:25 commits, 33 pushes, 1 branch in 1 year 11 months
scotthosking/my-first-binder

Jan 2020 - Aug 2020

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