Daniel Trugman
Associate Professor
Reno, Nevada, United States
Summary
👤
Senior🎓
Top SchoolDaniel Trugman is an associate professor and earthquake seismologist with a decade of experience applying big data, scientific machine learning, and high-fidelity physical modeling to unravel earthquake rupture processes and hazards. He blends waveform seismology, statistics, signal processing, and inverse theory to quantify source properties like stress drop and radiated energy, and to probe nucleation, rupture dynamics, triggering, and early warning. His work spans academia and national labs, including a Richard P. Feynman postdoctoral fellowship at Los Alamos, and emphasizes translating advanced algorithms into practical tools for ground motion prediction and forensic seismology. Based in Reno, he is notable for integrating machine learning with physics-based models to tackle problems traditionally approached by either data-driven or theoretical methods alone.
10 years of coding experience
11 years of employment as a software developer
University of California San DiegoBachelor of Science (BS), Geophyiscs, Bachelor of Science (BS), Geophyiscs at Stanford University
Github Skills (20)
seismology4
quantile4
python4
science4
deep-learning3
geophysics3
toolbox3
geostatistics3
hierarchical3
pluto3
machine-learning3
insar2
earthquake2
geoscience2
julia2
Programming languages (3)
Github contributions (5)
dttrugman/GrowClust3D.jl
Dec 2021 - Dec 2022
Contributions:65 commits, 67 pushes, 17 comments in 1 year
dttrugman/GrowClust
May 2019 - May 2022
Contributions:21 commits, 1 PR, 31 pushes in 3 years 1 month
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