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Dr David Moffat

Artificial Intelligence and Machine Learning Data Scientist

Role in NEODAAS

David is an AI and ML Data Scientist as part of NEODAAS. He works on applying Artifical Intelligence and Machine Learning techniques to Earth Observation data to formulate a better understanding of the natural world.

Biography

David is an applied AI researcher. His background is in applied AI, with a focus on audio and time series data, after having studied Artificial Intelligence and Computer Science(BSc) at Edinburgh University, before studying digital signal processing, digital music processing and computer science at Queen Mary University of London (MSc. and PhD). Since then, he has worked as a post doctoral researcher and academic. 

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Prof Steve Groom

Head of Service
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Katie Awty-Carroll

Data Scientist
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Dr Heather Baxter

Project Manager
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Dr Lauren Biermann

Research Scientist
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Dr Ruth Calder-Potts

Project Manager (currently on maternity leave)
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Dr Dan Clewley

NEODAAS Manager
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James Dingle

Research Software Engineer
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William Jay

Research Scientist
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Aser Mata

Research Scientist
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Dr Peter Miller

Senior Research Scientist
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Silvia Pardo

Research Scientist
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Dr Nick Selmes

Research Scientist
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Emma Sullivan

Research Scientist
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Peter Walker

Research Software Engineer
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Dr Mark Warren

Research Software Engineer