Morgan D. Sanger ☕

Morgan D. Sanger

(she/her)

PhD Candidate

University of Washington

Hello, and welcome.

My name is Morgan, and I am a PhD student in geotechnical engineering at the University of Washington. My doctoral research includes applying AI/ML to large geospatial and geotechnical data sets for improved earthquake hazard modeling and risk management. Thanks for visiting my site!

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Education

PhD, Civil Engineering (Geotechnical)

University of Washington

MS, Geological Engineering

University of Wisconsin-Madison

BS, Geological Engineering, Geology & Geophysics

University of Wisconsin-Madison

Interests

Geotechnical Engineering Earthquake Engineering AI/ML High-Performance Computing Geospatial Analysis Geostatistics Remote Sensing
Recent Publications
Morgan D. Sanger, M. Geyin, B. W. Maurer (2026). Towards improved regional liquefaction hazard assessments using geospatial surrogate models. ASCE Geo-Congress 2026: Geo Tools, Technologies, and Techniques in an Environment of Change, 515-523.
DOI PDF
Morgan D. Sanger, A. A. Acosta, K. Buyco, M. S. Ibrahim, P. S. Ramos (2026). 2025 EERI LFE Travel Study – Mexico: Lessons in soft soils, subsidence, and site effects. 13th National Conference on Earthquake Engineering (13NCEE), Portland, Oregon (In Review).
DOI PDF
Morgan D. Sanger, O. B. Smith, B. W. Maurer, L. Wotherspoon, M. O. Eberhard, J. W. Berman (2026). Liquefaction-induced road disruptions after a magnitude-9 rupture of the Cascadia Subduction Zone. DesignSafe-CI (Dataset).
Dataset DOI
Morgan D. Sanger, B. W. Maurer (2026). Parametric modeling of shear wave velocity profiles for the conterminous U.S.. 13th National Conference on Earthquake Engineering (13NCEE), Portland, Oregon (In Review).
DOI PDF
Morgan D. Sanger, B. W. Maurer (2026). Supplement to 'Have Large Language Models Enhanced the Way Civil & Environmental Engineers Write? A Quantitative Analysis of Scholarly Communication over 25 Years'. DesignSafe-CI.
Supplemental Materials DOI
Morgan D. Sanger, M. Geyin, A. Shin, M. Perez, B. W. Maurer (2025). A database of cone penetration tests from North America (version 2). DesignSafe-CI (Dataset).
Dataset DOI
Morgan D. Sanger, B. W. Maurer (2025). A database of shear wave velocity tests from North America. DesignSafe-CI (Dataset).
Dataset DOI
Morgan D. Sanger, B. Carlton, Z. Liu, B. W. Maurer (2025). AI-driven seismic velocity modelling in the North Sea: using onshore data to predict offshore conditions. Proceedings of the 9th International Symposium for Geotechnical Safety and Risk (ISGSR), Oslo, Norway.
DOI DOI
Morgan D. Sanger, M. Geyin, B. W. Maurer (2025). Mechanics-informed machine learning for geospatial modeling of soil liquefaction: global and national surrogate models for simulation and near-real-time response. Journal of Geotechnical and Geoenvironmental Engineering, 151(11): 04025126.
PDF Code Dataset DOI
Morgan D. Sanger, B. W. Maurer (2025). Pacific Northwest liquefaction hazard simulations. DesignSafe-CI (Dataset).
DOI Dataset
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Recent Presentations
Morgan D. Sanger, M. Geyin, B. W. Maurer (2026). Towards Improved Regional Liquefaction Hazard Assessments using Geospatial Surrogate Models.
Morgan D. Sanger, B. W. Maurer (2025). Geospatial machine learning for coseismic hazard modeling.
Morgan D. Sanger, B. W. Maurer (2025). Liquefaction impacts on PacTrans mobility: Mechanics-informed AI modeling for simulation, disaster equity, and near-real-time response.
A. Acosta, K. Buyco, M. S. Ibrahim, S. Ramos, Morgan D. Sanger (2025). Lessons in geotechnical earthquake engineering from large-magnitude earthquakes in Mexico.
PDF
Morgan D. Sanger, B. Carlton, Z. Liu, B. W. Maurer (2025). AI-driven seismic velocity modeling in the North Sea: using onshore data to predict offshore conditions.
PDF
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From My Library

Books, videos, podcasts, and other resources that I have found interesting, enjoyable, and somewhat relevant to my work recently.

The Spatial Stack by Matt Forrest featured image

The Spatial Stack by Matt Forrest

This podcast covers generally interesting topics related to geospatial data and geospatial machine learning, with a particularly relevant episode recently - The "GPT Moment" for …

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Nexus: A Brief History of Information Networks from the Stone Age to AI by Yuval Noah Harari featured image

Nexus: A Brief History of Information Networks from the Stone Age to AI by Yuval Noah Harari

Explores how information networks have shaped human history and their implications for the future.

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The Big Dig by NPR featured image

The Big Dig by NPR

NPR’s deep dive into Boston’s Central Artery/Tunnel Project—engineering ambition, risk, and what megaprojects teach us about accountability and infrastructure.

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