Matthew Gaddes is a catastrophe risk analyst and geophysicist with 11 years of applied analytics experience, blending a PhD from the University of Leeds with hands-on machine learning research on radar and InSAR data to detect volcanic unrest. His postdoctoral work—funded by ESA Living Planet fellowships—developed deep learning models (including CNNs) for monitoring subaerial volcanoes with Sentinel-1, translating research into operational remote-sensing tools. Now at JBA Risk Management, he applies that expertise to catastrophe risk assessment, pairing academic rigour with practical risk-modeling needs. Based in Skipton, he brings a rare combination of satellite-derived signal detection skills and real-world risk analytics, plus a history of tutoring and analyst roles that sharpen his communication of complex technical findings.
11 years of coding experience
1 year of employment as a software developer
Master of Earth Sciences, Geology/Earth Science, General, Master of Earth Sciences, Geology/Earth Science, General at University of Oxford
Doctor of Philosophy - PhD, Geophysics, Doctor of Philosophy - PhD, Geophysics at University of Leeds
Contributions:23 releases, 51 commits, 4 PRs in 2 years 11 months
sentinel-1sarinsarvolcanosentinel
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