As a theoretical geophysicist, my focus is on numerical modeling of natural hazards. Previous work includes studying frictional effects on earthquake behavior and improving ground motion prediction equations used in earthquake early warning. My current thesis focus is on the modeling of earthquake tsunamigenesis. In addition to my thesis work, I am passionate about improving diversity and inclusion practices in academia.

Honors & Awards

  • Certificate of Achievement in Mentoring, Stanford School of Earth (2021)
  • Special Service Award for Diversity, Equity and Inclusion, Stanford School of Earth (2021)
  • Stanford Community Impact Award, Stanford Alumni Association (2021)
  • Stanford’s Centennial Teaching Assistant Awards, Center for Teaching and Learning (CTL) (2021)
  • Diversifying Academia, Recruiting Excellence Fellowship Program, Stanford DARE (2020)
  • National Science Foundation Graduate Research Fellowship, NSF GRFP (2018)
  • Enhancing Diversity in Graduate Education Doctoral Fellowship Program, Stanford EDGE (2017)

Education & Certifications

  • B.S., University of Wisconsin - Madison, Geological Engineering (2017)

Current Research and Scholarly Interests

The most destructive tsunamis are generated by earthquakes, posing hazard to coastlines around the world. Open questions about these events are, how are they generated, what parameters will cause the most destructive waves, and how do we interpret existing seafloor data to create tsunami and earthquake early warning? To answer these questions, computer simulations (modeling) have been an effective method to study past events and assess a region's potential hazard. Many modelers use an approximate approach for modeling how earthquakes generate tsunamis, but recent events have shown assumptions in these approaches do not hold in all cases. Since these models do not fully describe the physics, they are less effective in predicting future hazards.

A more rigorous full-physics method has been developed by a previous group member that does not approximate tsunami generation, creating a more realistic model of earth/ocean interactions. This full-physics method has only been developed in 2D; however, a 3D model is needed to allow for comparison to real-world data. In collaboration with the University of Munich, I am currently incorporating the full-physics method into the open-source 3D earthquake software. This software will be the first 3D full-physics model for earthquake tsunamigenesis, providing greater insight into tsunami physics and valuable information for tsunami early warning.

In addition to my thesis work, I have focused on two other projects to study hazards. I have completed my starter project studying frictional effects on earthquake behavior and completed my second project working with the US Geological Survey on improving ground motion prediction equations used in the earthquake early warning systems.

All Publications

  • 3D acoustic-elastic coupling with gravity: the dynamics of the 2018 palu, sulawesi earthquake and tsunami SC '21: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis Krenz, L., Uphoff, C., Ulrich, T., Gabriel, A., Abrahams, L. S., Dunham, E. M., Bader, M. 2021: 1-14

    View details for DOI 10.1145/3458817.3476173

  • Earthquake Sequence Dynamics at the Interface Between an Elastic Layer and Underlying Half-Space in Antiplane Shear JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH Abrahams, L. S., Allison, K. L., Dunham, E. M. 2020; 125 (12)
  • The Community Code Verification Exercise for Simulating Sequences of Earthquakes and Aseismic Slip (SEAS) SEISMOLOGICAL RESEARCH LETTERS Erickson, B. A., Jiang, J., Barall, M., Lapusta, N., Dunham, E. M., Harris, R., Abrahams, L. S., Allison, K. L., Ampuero, J., Barbot, S., Cattania, C., Elbanna, A., Fialko, Y., Idini, B., Kozdon, J. E., Lambert, V., Liu, Y., Luo, Y., Ma, X., McKay, M., Segall, P., Shi, P., van den Ende, M., Wei, M. 2020; 91 (2): 874–90

    View details for DOI 10.1785/0220190248

    View details for Web of Science ID 000518383600030

  • When Source and Path Components TradeOff in Ground-Motion Prediction Equations Seismological Research Letters Baltay, A. S., Abrahams, L. S., Hanks, T. C. 2020

    View details for DOI 10.1785/0220190379