Martijn Van Den Ende
Researcher at CNRS
France
Summary
👤
Senior🎓
Top SchoolMartijn Van Den Ende is a researcher with a decade of experience applying distributed fibre-optic sensing and deep learning to probe strain, temperature, and seismic signals across urban, rural, and offshore environments. Trained as a geophysicist with a PhD in earthquake physics from Utrecht, he blends laboratory experiments, multi-scale numerical modelling, and field sensing to study earthquake mechanics and rupture nucleation. His postdoctoral work at Université Côte d'Azur and Sapienza focused on Distributed Acoustic Sensing and ML methods, translating noisy fibre data into actionable geophysical insights. Now at CNRS, he combines physics-first intuition with data-driven approaches to push sensing beyond traditional instrumentation footprints. Notably, his background in web programming and long trajectory across experimental and computational geoscience gives him a rare ability to build end-to-end research pipelines from sensor to model.
10 years of coding experience
9 years of employment as a software developer
VWO, VWO at Gymnasium ApeldoornDoctor of Philosophy - PhD, Earthquake physics, Doctor of Philosophy - PhD, Earthquake physics at Utrecht University
Dutch, English
Stackoverflow
1,938reputation
202kreached
40answers
49questions
Github Skills (117)
simulator10
earthquake10
seismology10
diffraction10
simulation10
geophysics10
modeling10
signal-processing9
toolbox9
science8
denoising8
python8
obspy8
typescript8
web-application7
Programming languages (14)
Github contributions (5)
martijnende/qdyn
Dec 2018 - Sep 2021
A Quasi-DYNamic earthquake simulator
Contributions:7 PRs, 40 pushes, 2 branches in 2 years 9 months
quasiearthquakesimulationsimulatorgeodesy
martijnende/jDAS
Aug 2021 - Oct 2022
Coherence-based Deep Learning denoising of DAS data
Contributions:1 release, 21 commits, 6 PRs in 1 year 1 month
coherencedeep-learningmachine-learningdenoisingdas
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.