Marine Denolle

Headshot of Marine Denolle.

Marine Denolle

Research areas

Education:

  • 2014, PhD in geophysics – Stanford University (USA)
  • 2008, Master en géophysique – Ecole Normale Superieure, Paris (France)
  • 2006, License en géophysique – Ecole Normale Superieure, Paris (France)

Graduate Students:

  • Yiyu Ni ( @ ESS): Cloud seismology, machine learning, data mining in the Pacific Northwest, earthquake early warning
  • Tim Clements ( @ Harvard University): environmental seismology, monitoring groundwater and soil moisture using noise correlation functions; native cloud computing for seismology, computational seismology
  • Jiuxun Yin ( @ Harvard University): observation and simulation of subduction-zone earthquakes, teleseismic backprojection, earthquake energy budget
  • Seth Olinger ( @ Harvard University): cryoseismology – detection of ice-related seismic events, ice shelf rifting
  • Congcong Yuan ( @ Harvard University): machine learning in seismology, wavefield simulations, theoretical ambient noise seismology, ambient noise monitoring
I work at the intersection of academic research and technology, leveraging big data analytics, cloud computing, and artificial intelligence to advance geo-hazards and climate-driven Earth changes. My research spans geophysics, Earth surface dynamics, and seismic processes, focusing on geohazards such as earthquakes and landslides and how they are influenced by climate and hydrological factors. By combining advanced seismological tools with insights from climate science, I aim to uncover the processes driving these hazards and how a changing climate reshapes Earth’s subsurface. I collaborate across disciplines and with tech partners (e.g. Amazon Web Services, Allen Institute for AI) to develop AI-aided (e.g., foundational models and agentic AI), reproducible workflows for analyzing massive seismic datasets. This integrative approach allows me to transform traditional seismology and address pressing societal challenges in hazard mitigation.
The Pacific Northwest is a natural laboratory for earthquake and landslide research, sitting atop the Cascadia subduction zone and host to diverse geohazards from volcanoes to glacial environments. I am actively recruiting motivated graduate students and postdoctoral researchers who are excited about working at the nexus of geoscience, climate, and AI. If you are interested in joining our research group, please visit our website and contact me for available opportunities.

Selected publications

Full publication list

Some representative work:

  • Tracking groundwater levels using the ambient seismic field (2020) T Clements, MA Denolle, Geophysical Research Letters 45 (13), 6459-6465
  • Earthquakes within earthquakes: Patterns in rupture complexity (2019) P Danré, J Yin, BP Lipovsky, MA Denolle, Geophysical Research Letters 46 (13), 7352-7360
  • New perspectives on self‐similarity for shallow thrust earthquakes (2016), MA Denolle, PM Shearer, Journal of Geophysical Research: Solid Earth 121 (9), 6533-6565
  • Strong ground motion prediction using virtual earthquakes (2014), MA Denolle, EM Dunham, GA Prieto, GC Beroza, Science 343 (6169), 399-403