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Daniel Taylor Trugman

Daniel Trugman

Phone (505) 667-1495


  • Computer and Computational Sciences
  • Graphical processing unit (GPU)
  • Data-Intensive computing
  • Earth and Space Sciences
  • Geoscience
  • Geophysics
  • Volcanology
  • Remote sensing
  • Image analysis
  • Transient signal recognition
  • Computer and Computational Sciences
  • Machine learning,
  • Data mining
  • High performance computing
  • Earth and Space Sciences
  • Seismic analysis
  • Earthquakes
  • Information Science and Technology
  • Machine Learning
  • Earth and Space Sciences
  • Inverse modeling
  • Model calibration


Observational seismology

Earthquake source characterization

Earthquake rupture dynamics

Signal processing

Machine learning

Data science and analytics


2017        Ph.D., Earth Sciences – Geophysics, UC San Diego

2015        M.S., Earth Sciences – Geophysics, UC San Diego

2013        B.S., Geophysics, Stanford University


LANL Positions

Richard P. Feynman Postdoctoral Fellowship, 2018 - 2020


Professional Societies

Seismological Society of America

American Geophysical Union

American Association for the Advancement of Science



2019    Hyperion Research HPC Innovation Excellence Award

2018    Richard P. Feynman Postdoctoral Fellowship

2017    Seismological Society of America 2017 Outstanding Student Presentation Award

2016    Achievement Reward for College Scientists (ARCS) Scholarship

2016    Paul G. Silver Young Scholar Research Enhancement Award

2014    National Science Foundation (NSF) Graduate Research Fellowship

2013    David M. Kennedy Prize for Outstanding Undergraduate Honors Thesis

2013    Hoefer Prize for Excellence in Undergraduate Writing

2013    Firestone Medal for Excellence in Undergraduate Research

2013    Stanford School of Earth Sciences Dean’s Award for Undergraduate Academic Achievement

2013    California Federation of Mineralogical Society’s Diedrick Scholarship

2009    Los Alamos National Laboratory Employee’s Scholarship Award Platinum Scholar

2009    J. Robert Oppenheimer Scholar

2009    National Merit Scholar



2017 GrowClust: A stable and efficient algorithm for the relative relocation of earthquake hypocenters. Software available via GitHub under the GNU General Public License.




Trugman, D. T., Z. E. Ross, and P. A. Johnson (2020). Imaging Stress and Faulting Complexity Through Earthquake Waveform Similarity. Geophysical Research Letters, 47 (1), e2019GL085888, doi: 10.1029/e2019GL085888.

Ross, Z. E., D. T. Trugman, K. Azizzadenesheli, and A. Anandkumar (2020). Directivity Modes of Earthquake Populations with Unsupervised Learning. Journal of Geophysical Research: Solid Earth, 125, e2019JB018299, doi: 10.1029/2019JB018299.

Qin, Y. X. Chen, J. I. Walter, J. Haffener, D. T. Trugman, B. M. Carpenter, M. Weingarten, and F. Kolawole (2019). Deciphering the Stress State of Seismogenic Faults in Oklahoma and Southern Kansas Based on an Improved Stress Map. Journal of Geophysical Research: Solid Earth, 124, doi: 10.1029/2019JB018377.

Trugman, D. T., and Z. E. Ross (2019). Pervasive Foreshock Activity Across Southern California. Geophysical Research Letters, 46 (15), doi: 10.1029/2019GL083725.

Ross, Z. E., D. T. Trugman, E. Hauksson, and P. M. Shearer (2019). Searching for Hidden Earthquakes in Southern California. Science, eaaw6888, doi: 10.1126/science.aaw6888.

Trugman, D. T., M. T. Page, S. E. Minson, and E. S. Cochran (2019). Peak Ground Displacement Saturates Exactly When Expected: Implications for Earthquake Early Warning. Journal of Geophysical Research: Solid Earth, 124 (5), doi: 10.1029/2018JB017093.

Trugman, D. T., G. C. Beroza, P. A. Johnson (2019). Machine Learning in Geoscience, Riding a Wave of Progress. Eos, 100, doi: 10.1029/2019EO122671.

Shearer, P. M., R. A. Abercrombie, D. T. Trugman, and W. Wang (2019). Comparing EGF Methods for Estimating Corner Frequency and Stress Drop from P-Wave Spectra. Journal of Geophysical Research: Solid Earth, 124 (4), doi: 10.1029/2018JB016957.

Kong, Q., D. T. Trugman, Z. E. Ross, M. J. Bianco, B. J. Meade, and P. Gerstoft (2018). Machine Learning in Seismology - Turning Data into Insights. Seismological Research Letters, 90 (1), 3-14, doi: 10.10.1785/0220180259.

Koper, K. D., K. L. Pankow, J. C. Pechmann, J. M. Hale, R. Burlacau, W. L. Yeck, H. M. Benz, R. B. Hermann, D. T. Trugman, and P. M. Shearer (2018). Afterslip Enhanced Aftershock Activity During the 2017 Earthquake Sequence Near Sulphur Peak, Idaho. Geophysical Research Letters, 45, 5352–5361, doi: 10.1029/2018GL078196.

Trugman, D. T. and P. M. Shearer (2018). Strong Correlation Between Stress Drop and Peak Bround Acceleration for Recent M1-M4 Seismicity in the San Francisco Bay Area. Bulletin of the Seismological Society of America, 108 (2), 929-945, doi:10.1785/0120170245.

Trugman, D. T., S. L. Dougherty, E. S. Cochran, and P. M. Shearer (2017). Source Spectral Properties of Small to Moderate Earthquakes in Southern Kansas. Journal of Geophysical Research: Solid Earth, 122 (10), 8021–8034, doi: 10.1002/2017JB014649.

Trugman, D. T. and P. M. Shearer (2017). Application of an Improved Spectral Decomposition Method to Examine Earthquake Source Scaling in Southern California. Journal of Geophysical Research: Solid Earth, 122 (4), 2890–2910, doi: 10.1002/2017JB013971 .

Trugman, D. T., and P. M. Shearer (2017). GrowClust: A Hierarchical Clustering Algorithm for Eelative Earthquake Relocation, with Application to the Spanish Springs and Sheldon, Nevada, Earthquake Sequences. Seismological Research Letters, 88 (2A), 379–391, doi: 10.1785/0220160188 .

Trugman, D. T., P. M. Shearer, A. A. Borsa and Y. Fialko (2016). A Comparison of Long-Rerm Changes in Seismicity at The Geysers, Salton Sea, and Coso Geothermal Fields. Journal of Geophysical Research: Solid Earth, 121 (1), 225–247, doi: 10.1002/2015JB012510.

Daub, E. G., D. T. Trugman, and P. A. Johnson (2015). Statistical Tests on Clustered Global Earthquake Synthetic Data Sets. Journal of Geophysical Research: Solid Earth, 120(8), 5693–5716, doi: 10.1002/2014JB011777.

Trugman, D. T., C. Wu, R. A. Guyer, and P. A. Johnson (2015). Synchronous Low Frequency Earthquakes and Implications for Deep San Andreas Fault Slip. Earth and Planetary Science Letters, 424, 132–139, doi: 10.1016/j.epsl.2015.05.029.

Wu, C., R. A. Guyer, D. Shelly, D. T. Trugman, W. Frank, J. Gomberg, and P. A. Johnson (2015). Spatialtemporal Variation of Low-Frequency Earthquake Bursts Near Parkfield, California. Geophysical Journal International, 202(2), 914–919, doi: 10.1093/gji/ggv194.

Trugman, D. T., A. A. Borsa, and D. T. Sandwell (2014). Did Stresses from the Cerro Prieto Geothermal Field Influence the El Mayor-Cucapah Rupture Sequence?, Geophysical Research Letters, 41 (24), 8767–8774, doi: 10.1002/2014GL061959.

Trugman, D. T., and E. M. Dunham (2014). A 2D Pseudodynamic Rupture Model Generator for Earthquakes on Geometrically Complex Faults. Bulletin of the Seismological Society of America. 104 (1), 95–112, doi: 10.1785/0120130138 .

Trugman, D. T., E. G. Daub, R. A. Guyer, and P. A. Johnson (2013). Modeling Dynamic Triggering of Tectonic Tremor Using a Brittle-Ductile Friction Model, Geophysical Research Letters. 40 (19), 5075–5079, doi: 10.1002/grl.50981.

Johnson, P. A., B. Ferdowsi, B. M. Kaproth, M. Scuderi, M. Griffa, J. Carmeliet, R. A. Guyer, P.-Y. Le Bas, D. T. Trugman, and C. Marone (2013). Acoustic Emission and Microslip Precursors to Stick-Slip Failure in Sheared Granular Material. Geophysical Research Letters, 40 (21), 5627–5631, doi: 10.1002/2013GL057848.

Perkins, B. G., H. Y. Hwang, N. K. Grady, L. Yan, D. T. Trugman, Q. Jia, H. T. Chen, A. J. Taylor, and K. A. Nelson (2013). Nonlinear Ultrafast Dynamics of High Temperature YBa2Cu3O7–Delta Superconductors Probed with THz Pump / THz Probe Spectroscopy. EPJ Web of Conferences, 41, 03010, doi: 10.1051/epjconf/20134103010.

Grady, N. K., B. G. Perkins, H. Y. Hwang, N. C. Brandt, D. Torchinsky, R. Singh, L. Yan, D. T. Trugman, S. A. Trugman, Q. X. Jia, A. J. Taylor, K. A. Nelson, and H. T. Chen (2013). Nonlinear High-Temperature Superconducting Terahertz Metamaterials. New Journal of Physics, 15 (10), 105016, doi: 10.1088/1367-2630/15/10/105016.

Budiman, A. S., N. Li, Q. Wei, J. K. Baldwin, J. Xiong, H. Luo, D. T. Trugman, Q. X. Jia, N. Tamura, M. Kunz, K. Chen, A Misra (2011). Growth and Structural Characterization of Epitaxial Cu/Nb Multilayers. 519 (13), 4137–4143, Thin Solid Films, doi: 10.1016/j.tsf.2010.12.077.

Xiong, J., V. Matias, H. Wang, J. Y. Zhai, B. Maiorov, D. T. Trugman, B. W. Tao, Y. R. Li, Q. X. Jia (2010). Much Simplified Ion-beam Assisted Deposition-TiN Template for High-Performance Coated Conductors. Journal of Applied Physics, 108(8), 083903-083903-4, doi: 10.1063/1.3499270.