Liam Toney
Liam Toney is a Research Geologist in the Landslide Hazards Program. He uses seismoacoustics — the combined study of vibrations in the Earth and sound waves in the atmosphere — to characterize non-earthquake geohazards, such as avalanches, landslides, and volcanic eruptions.
Liam is primarily involved with the USGS Landslide Assessments, Situational Awareness, and Event Response Research (LASER) project. Within LASER, he works with the instrumentation and remote observations subteams.
Professional Experience
Research Geologist — USGS Geologic Hazards Science Center, Golden, CO (2025–present)
Mendenhall Postdoctoral Fellow — USGS Geologic Hazards Science Center, Golden, CO (2023–2025)
Graduate Research Assistant — University of Alaska Fairbanks Geophysical Institute, Fairbanks, AK (2018–2023)
Student Trainee (Physical Science) — USGS Geologic Hazards Science Center, Golden, CO (2020–2022)
Ashfall Geovisualization Developer — GNS Science, New Zealand (April–May 2018)
Geophysics R&D Intern — Sandia National Laboratories, Albuquerque, NM (summer 2017)
Education and Certifications
Ph.D. Geophysics — University of Alaska Fairbanks (2023)
Dissertation: Characterization of geohazards via seismic and acoustic wavesB.A. Physics; minor Geology — Pomona College (2017)
Affiliations and Memberships*
American Geophysical Union
European Geosciences Union
Seismological Society of America
International Association of Volcanology and Chemistry of the Earth's Interior
Honors and Awards
Special Thanks for Achieving Results (STAR) award — USGS (2024, 2025)
Outstanding Student Presentation Award — AGU (2023)
Outstanding Student Performance Award — University of Alaska Fairbanks Geophysical Institute (2021)
Brian R. Zelenka Memorial Scholarship — University of Alaska Fairbanks (2021)
Secretary of Energy Achievement Award — U.S. Department of Energy (2021)
Distinction in the Senior Exercise — Pomona College (2017)
Tileston Physics Prize — Pomona College (2015)
Science and Products
Local explosion detection and infrasound localization by reverse time migration using 3-D finite-difference wave propagation Local explosion detection and infrasound localization by reverse time migration using 3-D finite-difference wave propagation
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
Science and Products
Local explosion detection and infrasound localization by reverse time migration using 3-D finite-difference wave propagation Local explosion detection and infrasound localization by reverse time migration using 3-D finite-difference wave propagation
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
*Disclaimer: Listing outside positions with professional scientific organizations on this Staff Profile are for informational purposes only and do not constitute an endorsement of those professional scientific organizations or their activities by the USGS, Department of the Interior, or U.S. Government