Marine Denolle
Co-Founder at Applied Environmental Intelligence
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolMarine Denolle is an associate professor and co-founder who leverages nine-plus years of observational seismology and a Stanford PhD to build data-centric tools that turn massive seismic datasets into actionable insight on earthquakes, ground motion hazards, and environmental change. She leads a research group at the University of Washington that combines open-source Python and Julia pipelines, machine learning, and cloud/edge computing to accelerate discovery and operational seismic monitoring. Her work spans fundamental Earth science—surface-wave tomography and ambient-field methods—to applied solutions for denoising, feature extraction, and distributed acoustic sensing deployed in real-world systems. A track record of mentoring successful PhD and postdoc researchers complements her entrepreneurial drive at Applied Environmental Intelligence, where she translates research-grade algorithms into scalable geophysical monitoring products.
9 years of coding experience
9 years of employment as a software developer
Master's degree, geophysics, Master's degree, geophysics at Ecole normale supérieureDoctor of Philosophy (PhD), Seismology, Doctor of Philosophy (PhD), Seismology at Stanford University
French, English, Japanese, Spanish
Github Skills (54)
noise10
ambient10
geoscience9
python9
gis8
machine-learning8
lstm-neural-networks7
multi-task-learning7
quake7
attention-mechanism7
open-source6
hierarchical6
earthquake6
quantile5
insar5
Programming languages (6)
Github contributions (5)
geo-smart/mlgeo-book
Sep 2022 - Dec 2022
Instructor version of the GeoSMART curriculum book for ESS 469/569
Contributions:1 release, 153 commits, 45 PRs in 2 months
curriculumgh-actionsgiscurriculum-learninggeoscience
Denolle-Lab/denolle-lab.github.io
Sep 2021 - Feb 2025
Denolle Quake Lab @ UW
Contributions:1 PR, 116 pushes, 1 branch in 3 years 5 months
labquake
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