Matthew A Thomas
Matt Thomas is a research hydrologist in the Landslide Hazards Program.
I am a quantitative geoscientist excited to work on societally relevant earth science and engineering problems. My research at the USGS contributes to rainfall-induced landslide and post-fire debris-flow hazard warning products designed to reduce loss of life and property.
Professional Experience
2022 – Research Hydrologist, U.S. Geological Survey, Golden, CO
2017 – 2021 Mendenhall Postdoctoral Fellow, U.S. Geological Survey, Golden, CO
2015 – 2017 R&D Geosciences Engineer, Sandia National Laboratories, Carlsbad, NM
2014 – 2015 Postdoctoral Scholar, Stanford University, Stanford, CA
2009 – 2014 Graduate Student Researcher, Stanford University, Stanford, CA
2008 – 2009 Staff Geologist, Cornerstone Earth Group, Sunnyvale, CA
Education and Certifications
2014 PhD in Hydrogeology, Stanford University
2014 MS in Civil and Environmental Engineering, Stanford University
2008 BS in Geology, University of California Los Angeles
Science and Products
Infiltration data collected post-Hurricane Maria across landslide source area materials, Puerto Rico, USA Infiltration data collected post-Hurricane Maria across landslide source area materials, Puerto Rico, USA
Field data used to support hydrologic modeling for the U.S. Geological Survey's San Francisco Bay Area "BALT1" landslide monitoring site Field data used to support hydrologic modeling for the U.S. Geological Survey's San Francisco Bay Area "BALT1" landslide monitoring site
Deep Learning as a tool to forecast hydrologic response for landslide-prone hillslopes Deep Learning as a tool to forecast hydrologic response for landslide-prone hillslopes
Geometric and material variability influences stress states relevant to coastal permafrost bluff failure Geometric and material variability influences stress states relevant to coastal permafrost bluff failure
Assessing the feasibility of satellite-based thresholds for hydrologically driven landsliding Assessing the feasibility of satellite-based thresholds for hydrologically driven landsliding
Landslides triggered by Hurricane Maria: Assessment of an extreme event in Puerto Rico Landslides triggered by Hurricane Maria: Assessment of an extreme event in Puerto Rico
A decade of remotely sensed observations highlight complex processes linked to coastal permafrost bluff erosion in the Arctic A decade of remotely sensed observations highlight complex processes linked to coastal permafrost bluff erosion in the Arctic
Identifying physics‐based thresholds for rainfall‐induced landsliding Identifying physics‐based thresholds for rainfall‐induced landsliding
Variability in soil-water retention properties and implications for physics-based simulation of landslide early warning criteria Variability in soil-water retention properties and implications for physics-based simulation of landslide early warning criteria
Fluid pressure responses for a Devil's Slide-like system: problem formulation and simulation Fluid pressure responses for a Devil's Slide-like system: problem formulation and simulation
Foreign Nonindigenous Carps and Minnows (Cyprinidae) in the United States - A Guide to their Identification, Distribution, and Biology Foreign Nonindigenous Carps and Minnows (Cyprinidae) in the United States - A Guide to their Identification, Distribution, and Biology
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
Infiltration data collected post-Hurricane Maria across landslide source area materials, Puerto Rico, USA Infiltration data collected post-Hurricane Maria across landslide source area materials, Puerto Rico, USA
Field data used to support hydrologic modeling for the U.S. Geological Survey's San Francisco Bay Area "BALT1" landslide monitoring site Field data used to support hydrologic modeling for the U.S. Geological Survey's San Francisco Bay Area "BALT1" landslide monitoring site
Deep Learning as a tool to forecast hydrologic response for landslide-prone hillslopes Deep Learning as a tool to forecast hydrologic response for landslide-prone hillslopes
Geometric and material variability influences stress states relevant to coastal permafrost bluff failure Geometric and material variability influences stress states relevant to coastal permafrost bluff failure
Assessing the feasibility of satellite-based thresholds for hydrologically driven landsliding Assessing the feasibility of satellite-based thresholds for hydrologically driven landsliding
Landslides triggered by Hurricane Maria: Assessment of an extreme event in Puerto Rico Landslides triggered by Hurricane Maria: Assessment of an extreme event in Puerto Rico
A decade of remotely sensed observations highlight complex processes linked to coastal permafrost bluff erosion in the Arctic A decade of remotely sensed observations highlight complex processes linked to coastal permafrost bluff erosion in the Arctic
Identifying physics‐based thresholds for rainfall‐induced landsliding Identifying physics‐based thresholds for rainfall‐induced landsliding
Variability in soil-water retention properties and implications for physics-based simulation of landslide early warning criteria Variability in soil-water retention properties and implications for physics-based simulation of landslide early warning criteria
Fluid pressure responses for a Devil's Slide-like system: problem formulation and simulation Fluid pressure responses for a Devil's Slide-like system: problem formulation and simulation
Foreign Nonindigenous Carps and Minnows (Cyprinidae) in the United States - A Guide to their Identification, Distribution, and Biology Foreign Nonindigenous Carps and Minnows (Cyprinidae) in the United States - A Guide to their Identification, Distribution, and Biology
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.