Here is a photo of some of our group members in the brand
new Physics, Astronomy, and Interdisciplinary Science Building at
UNM!
Prospective students: I am always looking for motivated graduate and undergraduate students who are interested in using physics, math, and numerical modeling to solve geologic problems. Please send me an email.
What can we learn about lithospheric evolution, structure, and rheology from modeling deformation patterns observed at the earth's surface, for example, from geologic and geodetic studies?
This is a collaboration with R. Grapenthin and E. Graves (U Alaska, Fairbanks) and graduate student G. Block is working on a suite of finite-element models of magma intrusion.
PhD student Grant Block has presented on this at the 2023 Interior of the Earth Gordon Conference and has a paper on this (link to GRL).
Combining multiple datasets,
e.g. the flux of cosmic ray muons, gravity, seismic data, we are exploring ways to use
machine learning in place of or as a supplement to joint inversion for Earth structure. This project involves a collaboration with R. Nishiyama at U. Tokyo. Previous collaborators include C. Rowe and E. Guardincierri at LANL. Graduate
student Katherine Cosburn is leading an effort to use machine
learning for estimating subsurface structure and will be presenting her first results at the AGU FM 2021
We have been very interested in the shapes of stratovolcanoes. Graduate student Cosburn has published a paper on this subject in JVGR in 2020, and undergrad exchange student V. Enders also contributed to this work.
Most recently, I have been interested
in modeling the piling of viscous flows using a range of rheologies and modeling approaches.