Eric Beaucé
Postdoctoral Researcher at Columbia University in the City of New York
New York, New York, United States
Summary
👤
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.
9 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 (15)
iterative10
backprojection10
mechanism9
inversion8
gpu8
covariance7
neural-network5
python4
3d3
fenics3
animation3
agent-based-modeling2
inverse-problems2
obspy1
asdf1
Programming languages (7)
Github contributions (5)
ebeauce/beampower
Feb 2022 - Feb 2023
Package for beamforming/backprojection of seismic data on CPUs or GPUs.
Contributions:1 release, 59 commits, 37 PRs in 11 months
backprojection
ebeauce/ILSI
Jun 2021 - Feb 2023
Package for iterative linear stress inversion (ILSI) of focal mechanism data.
Contributions:1 release, 71 commits, 19 PRs in 1 year 8 months
inversionmechanismiterativelinearfocal
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