Matthew Gaddes

Catastrophe Risk Analyst

Skipton, England, United Kingdom
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Summary

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Senior
🎓
Top School
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.
code11 years of coding experience
job1 year of employment as a software developer
bookMaster of Earth Sciences, Geology/Earth Science, General, Master of Earth Sciences, Geology/Earth Science, General at University of Oxford
bookDoctor of Philosophy - PhD, Geophysics, Doctor of Philosophy - PhD, Geophysics at University of Leeds
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Github Skills (10)

insar10
sentinel10
algorithm9
monitoring9
database7
satellite-imagery4
open-data4
copernicus4
satellite-images3
conda1

Programming languages (2)

ShellPython

Github contributions (5)

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matthew-gaddes/ICASAR

Nov 2018 - Oct 2022

An algorithm for robustly appling sICA to InSAR data
Contributions:26 releases, 94 commits, 74 pushes in 3 years 11 months
insar
Tools for making and manipulating SRTM1 and SRTM3 Dems.
Contributions:9 releases, 32 pushes, 1 branch in 3 years 7 months
srtm3headmanualsrtm1dems
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