Kyle R. Anderson, Ph.D.
I use monitoring data to better understand and forecast volcanic processes and hazards.
I work to understand volcanic systems by developing mathematical models which relate magma physics with monitoring data such as ground deformations and eruption rates. Model predictions can be compared with real-world observations using probabilistic statistical approaches, making it possible to constrain properties of volcanic systems such as the composition and volume of stored magma. These techniques can also be used in some cases to forecast future eruptive activity. I've worked most extensively at Mount St. Helens and Kīlauea volcanoes, but I'm interested in volcanoes and eruptions around the world.
I have a particular interest in volcanic caldera collapses and in episodic/cyclic eruptive behavior. Other interests include the physics governing magma ascent; the role of magmatic volatiles on eruptive processes; uncertainty quantification in volcanological inverse problems; quantifying rates of magma supply, storage, and eruption; ground deformation caused by magmatic processes; the application of machine learning to volcanology problems; and volcanic hazards assessments.
See the “Publications” tab below for more information.
Professional Experience
Research Geophysicist, USGS Volcano Science Center (California Volcano Observatory) (2015-present)
Visiting Research Fellow, University of Tokyo (January – March 2016)
USGS Exchange Scientist, Observatoire Volcanologique du Piton de la Fournaise (February 2015)
Mendenhall Postdoctoral Research Fellow, USGS Hawaiian Volcano Observatory (2012-2015)
Education and Certifications
Stanford University: PhD in geophysics (2012)
Stanford University: MS in geophysics
Whitman College: BA in geology-physics
Affiliations and Memberships*
USGS-CONVERSE Hawai‘i Science Advisory Committee (2021–present)
Modeling Collaboratory for Subduction Research Coordination Network steering committee (2017-2022)
Phi Beta Kappa (academic honor society)
Sigma Xi (scientific research honor society)
Honors and Awards
Indiana University Daniel S. Tudor Commemorative Lecture
Stanford – USGS Fellowship
Stanford University Centennial Teaching Assistant Award
Stanford University ARCS Foundation Scholar
National Science Foundation East Asia and Pacific Summer Institutes
Whitman College graduation with honors
Whitman College Leeds Prize in Geology
Lamont-Doherty Earth Observatory of Columbia University undergraduate summer internship
Science and Products
Trained emulators from the spheroid90gp software package
Cyclic lava effusion during the 2018 eruption of Kilauea Volcano: data release
Ground deformation and gravity for volcano monitoring
Physics-based forecasts of eruptive vent locations at calderas
Computationally efficient emulation of spheroidal elastic deformation sources using machine learning models: a Gaussian-process-based approach
Explosive 2018 eruptions at Kīlauea driven by a collapse-induced stomp-rocket mechanism
Earthquake cycle mechanics during caldera collapse: Simulating the 2018 Kīlauea eruption
Versatile modeling of deformation (VMOD) inversion framework: Application to 20 years of observations at Westdahl Volcano and Fisher Caldera, Alaska, US
Pre-existing ground cracks as lava flow pathways at Kīlauea in 2014
Stress-driven recurrence and precursory moment-rate surge in caldera collapse earthquakes
Understanding the drivers of volcano deformation through geodetic model verification and validation
The 2018 eruption of Kīlauea: Insights, puzzles, and opportunities for volcano science
Ring fault creep drives volcano-tectonic seismicity during caldera collapse of Kīlauea in 2018
Coordinating science during an eruption: Lessons from the 2020–2021 Kīlauea volcanic eruption
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.
Baydiff: Bayesian diffusion chronometry for volcanic systems
spheroid90gp: Gaussian process emulation of vertical spheroidal elastic cavity models
Caldera Collapse Earthquake Cycle Codes
Science and Products
Trained emulators from the spheroid90gp software package
Cyclic lava effusion during the 2018 eruption of Kilauea Volcano: data release
Ground deformation and gravity for volcano monitoring
Physics-based forecasts of eruptive vent locations at calderas
Computationally efficient emulation of spheroidal elastic deformation sources using machine learning models: a Gaussian-process-based approach
Explosive 2018 eruptions at Kīlauea driven by a collapse-induced stomp-rocket mechanism
Earthquake cycle mechanics during caldera collapse: Simulating the 2018 Kīlauea eruption
Versatile modeling of deformation (VMOD) inversion framework: Application to 20 years of observations at Westdahl Volcano and Fisher Caldera, Alaska, US
Pre-existing ground cracks as lava flow pathways at Kīlauea in 2014
Stress-driven recurrence and precursory moment-rate surge in caldera collapse earthquakes
Understanding the drivers of volcano deformation through geodetic model verification and validation
The 2018 eruption of Kīlauea: Insights, puzzles, and opportunities for volcano science
Ring fault creep drives volcano-tectonic seismicity during caldera collapse of Kīlauea in 2018
Coordinating science during an eruption: Lessons from the 2020–2021 Kīlauea volcanic eruption
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.
Baydiff: Bayesian diffusion chronometry for volcanic systems
spheroid90gp: Gaussian process emulation of vertical spheroidal elastic cavity models
Caldera Collapse Earthquake Cycle Codes
*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