I am an assistant professor at Kyoto University, DPRI, and the academic co-founder of Geolabe.

The most reliable way to reach me is by email: rouetleduc.bertrand.5s at kyoto-u.ac.jp

I am looking for students and postdocs interested in machine learning in geophysics: check the Group page 

News and events:

• Paper on earthquake early warning that scales well with earthquake magnitude, thanks to the use of deep learning to detect prompt elasto-gravity signals, has been published in Nature

• Methods paper on neural network interpretation to locate tectonic tremor published in IEEE: TGRS

• Starting in December 2021, I will be serving as an editor for Geophysical Journal International.

• Denoising InSAR data to detect mm-scale deformation on faults from space published in Nature Communications

• Methods paper on deep learning models to detect tectonic tremor published in Geophysical Research Letters

• Our work on detecting millimeter-scale transient deformation in InSAR time series has been presented at the AGU Fall Meeting 2020

• Review chapter on machine learning in fault physics published in Advances in Geophysics

• Paper on the initiation of slow earthquakes in Cascadia published in Nature Communications

• We wrote a perspective paper on the Kaggle competition we organized, that was published in PNAS 

Research interests:

My research is at the interface between machine learning and geophysics, specifically bridging data science, remote sensing and geophysics. You can find more details in the Research section.