Yongsoo Park is a Scientist at Los Alamos National Laboratory specializing in seismic monitoring and machine learning engineering. With a Ph. D. from Stanford and a Masters from MIT, he applies AI to seismic hazard analysis and works on developing more consistent and interpretable neural networks for geophysical data.
He is a key contributor to the seismological community, focusing on strengthening the development and use of "deep" seismic event catalogs. His research aims to reveal hidden fault structures to better understand and anticipate seismic risk.
Yongsoo Park
Scientist at Los Alamos National Laboratory
United States
Overview
Topics They Care About
Seismic Hazard Analysis
His core research involves using machine learning to build enhanced earthquake catalogs, which helps illuminate fault structures and improve seismic risk assessment.
Machine Learning in Geophysics
He has authored numerous publications on applying neural networks to automate and improve the accuracy of picking seismic phase arrivals from waveform data.
Interpretable AI
A focus of his work is mitigating the prediction inconsistency of neural networks to make them more reliable and interpretable for the seismological community.
Media Appearances
Yongsoo has no verified media appearances
Work History
11-2024
Scientist at Los Alamos National Laboratory
10-2022 - 11-2024
Postdoc at Los Alamos National Laboratory
9-2017 - 9-2022
Graduate Research Assistant at Stanford University
6-2021 - 9-2021
Earth Science Intern at Chevron
9-2014 - 12-2016
Graduate Research Assistant at Massachusetts Institute of Technology
2-2014 - 5-2014
Research at Korea Atomic Energy Research Institute
Education
2017 - 2022
Doctor of Philosophy (Ph.D.) from Stanford University
2014 - 2016
Master’s Degree from Massachusetts Institute of Technology
More Information
Social Presence :
Prographics :
Exp : 9
Location : United States
Job Level : N/A
Designation : Scientist at Los Alamos National Laboratory
