Zhe Jia
AI Scientist & Seismologist @ UT Austin.
I am a Research Assistant Professor at UT Austin, Institute for Geophysics. My research focuses on AI for Science, specifically using physics-based solvers, Bayesian optimization algorithms, and developing Multi-modal Transformers (e.g. SourceNet) and Neural Operators to solve complex inverse problems in seismology.
Previously, I was a Green Postdoctoral Scholar at Scripps Institution of Oceanography (UCSD) and obtained my Ph.D. from Caltech.
I am always keen of applying deep learning to larger-scale physical modeling and inversion.
news
| Aug 2025 | Our study Deep intra-slab rupture and mechanism transition of the 2024 Mw 7.4 Calama earthquake is published on Nature Communications, and featured by JSG Geosciences News! |
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| Jun 2025 | Our study Dual Mechanism Transition Controls Rupture Development of Large Deep Earthquakes is published on AGU Advances, and featured by EOS Science News Highlights. |
| Aug 2024 | Started a new journey as a Research Assistant Professor at UTIG (UT Austin)! |
| Aug 2023 | Our study The complex dynamics of the 2023 Kahramanmaraş, Turkey, Mw 7.8-7.7 earthquake doublet is published in Science (issue cover), and has been featured by Scripps News, UCSD today, KBPS News, etc.! |
selected publications
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SourceNet: Interpretable Sim-to-Real Inference on Variable-Geometry Sensor Arrays without Domain-Invariant Trainingto be submitted to ICML, 2025 - Deep intra-slab rupture and mechanism transition of the 2024 Mw 7.4 Calama earthquakeNature Communications, 2025
- The complex dynamics of the 2023 Kahramanmaraş, Turkey, M w 7.8-7.7 earthquake doubletScience, 2023
- Bayesian differential moment tensor inversion: theory and application to the North Korea nuclear testsGeophysical Journal International, 2022
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Extracting dispersion curves from ambient noise correlations using deep learningIEEE Transactions on Geoscience and Remote Sensing, 2020