Eric Beaucé
Postdoctoral Researcher at Columbia University in the City of New York
New York, New York, United States
Summary
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Senior🎓
Top SchoolEric Beaucé is a postdoctoral geophysicist based in New York with eight years of experience using data-driven approaches to probe Earth's shallow structure. Trained at École normale supérieure de Lyon and MIT (PhD in Geophysics and Seismology), he combines earthquake seismology, applied mathematics, and complex-systems thinking to study statistical properties of earthquake ensembles. His research blends large-scale data mining with bespoke high-performance computing tools to analyze massive seismic datasets efficiently. He has held research and teaching roles at MIT and currently conducts postdoctoral research at Columbia University, bridging theory and computational practice. Notably, he focuses on statistical seismology—an approach that draws empirical laws from ensembles rather than single events—bringing probabilistic insight to hazard and process understanding.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Geophysics and Seismology, Doctor of Philosophy - PhD, Geophysics and Seismology at Massachusetts Institute of TechnologyMaster of Science - MS, Physics, Master of Science - MS, Physics at École normale supérieure de Lyon
Github Skills (35)
earthquake10
location10
leaf10
filter10
iterative9
cpu9
waveform9
filtering9
mechanism9
cuda8
python8
inversion8
feature-extraction8
gpu7
architectures7
Programming languages (7)
Github contributions (5)
ebeauce/ILSI
Jun 2021 - Feb 2023
Package for iterative linear stress inversion (ILSI) of focal mechanism data.
Contributions:71 commits, 19 PRs, 55 pushes in 1 year 8 months
inversionmechanismiterativelinearfocal
ebeauce/seistides
Nov 2023 - Feb 2025
Python package for the analysis of tidal modulation of seismicity.
Contributions:1 release, 2 PRs, 10 pushes in 1 year 3 months
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