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SUMMARY:NERC Facilities for AI and Earth Observation: Project examples\, D
 irections and Geospatial Foundation Models - David Moffat\, AI Data Scienc
 e Lead at Plymouth Marine Laboratory
DTSTART:20251121T130000Z
DTEND:20251121T140000Z
UID:TALK236869@talks.cam.ac.uk
CONTACT:114742
DESCRIPTION:*Bio*\n\nDr David Moffat is the AI Data Science Lead at Plymou
 th Marine Laboratory\, where he bridges computer science and environmental
  research to advance our understanding of marine ecosystems through artifi
 cial intelligence. His work focuses on developing geospatial foundation mo
 dels\, Earth observation systems\, and computer vision techniques to monit
 or ocean health and biodiversity.\n\nDavid leads several high-impact initi
 atives at the intersection of AI and marine science. As PML lead for Grani
 te-Geospatial-Ocean Foundation Model developed with IBM Research\, STFC Ha
 rtree Centre\, and the University of Exeter—he has created a pioneering 
 foundation model that analyses Sentinel-3 satellite imagery to map phytopl
 ankton distributions and net primary production. Openly released to suppor
 t global collaboration\, this work improves estimates of ocean carbon abso
 rption\, a key uncertainty in climate modelling.\n\nHis research portfolio
  includes underwater benthic species detection using advanced computer vis
 ion (supported by the Bezos Earth Fund)\, harmful algal bloom detection\, 
 and coastal ecosystem monitoring. David’s technical expertise spans deep
  learning\, signal processing\, and time series analysis\, with particular
  strength in adapting AI methodologies for complex environmental datasets.
 \n\nDavid has delivered machine learning and Earth observation training to
  over 500 participants across academic\, governmental\, and international 
 organisations\, helping build capacity in AI-driven environmental science.
  He holds a BSc in Artificial Intelligence and Computer Science from the U
 niversity of Edinburgh\, an MSc in Signal Processing\, and a PhD in Comput
 er Science from Queen Mary University of London. His interdisciplinary bac
 kground in audio signal processing and intelligent systems provides a uniq
 ue foundation for tackling the computational challenges of marine and envi
 ronmental monitoring. He has authored over 30 peer-reviewed publications a
 nd book chapters.
LOCATION:Room GS15 at the William Gates Building and on Zoom: https://cl-c
 am-ac-uk.zoom.us/j/4361570789?pwd=Nkl2T3ZLaTZwRm05bzRTOUUxY3Q4QT09&amp\;fr
 om=addon 
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