05/06/2024: New paper accepted in JGR
04/01/2023: New paper accepted in SRL (Link)
24/10/2022: New paper accepted in GRL (Link)
24/10/2022: New paper accepted in GJI (Link)
07/09/2022: New paper submitted (Pre-print link)
07/09/2022: New paper accepted in GRL (Link)
01/08/2022: I moved to Los Alamos National Lab.
01/10/2020: I moved to The University of Michigan
21/07/2020: ML paper accepted in JGR (JGR link, EarthArXiv pre-print, Codes)
03/12/2020: ML paper submitted to JGR (EarthArXiv pre-print, Codes)
11/07/2019: Deep learning paper published in GJI (GJI link, Codes)
06/19/2019: New paper published in BSSA and Codes on Github
11/09/2018: Codes to compute response spectra in Matlab added: Github link
10/01/2018: Matlab codes to compute the linear and non-linear response of KiK-net boreholes: Github link
09/23/2018: I moved to Kyoto University as a JSPS Postdoc.
04/26/2018: Python functions to compute relative velocity changes (dv/v) with the stretching method as in Viens et al. (2018, JGR): Github link
My name is Loïc Viens.
I am a Research Scientist at Los Alamos National Laboratory. After earning my PhD at the University of Tokyo in September 2016, I was a postdoctoral fellow at Harvard University and a JSPS postdoctoral fellow at DPRI, Kyoto University, and a Postdoctoral fellow at the University of Michigan. I am also a former student of the Institut de Physique du Globe (IPGP) in Paris.
My research focuses on simulating ground motions from earthquakes, monitoring and understanding physical processes occurring in the Earth's shallow subsurface, imaging the Earth using seismometers and Distributed Acoustic Sensing (DAS), and developing new seismological tools using machine and deep learning.