Jiun-Ting Lin
Lawrence Livermore National Laboratory
Postdoc Researcher
Expertise: Earthquake Early Warning, Machine Learning, GPS, Distributed Acoustic Sensing, Source Inversion, Seismic Simulation, Neural Operator Learning
About Me
Publications
Matzel, E., Ichinose, G. A., Doody, C., Gok, R., Lin, J., Morency, C., & Barno, J. (2026, 08). Superresolution of the urban subsurface using telecommunications fiber optic sensors. Poster Presentation at 2026 SCEC Annual Meeting. SCEC Contribution 15559
Doody, C., Lin, J., Kong, Q., Rodgers, A. J., Vazquez, L., Zou, C., Choi, Y., Ross, Z. E., Azizzadenesheli, K., & Clayton, R. W. (2026, 08). Towards Fourier Neural Operators for Source and Structural Inversion of the San Francisco Bay Area. Poster Presentation at 2026 SCEC Annual Meeting. SCEC Contribution 15407
Rodgers, A. J., Doody, C., Lin, J., & Kong, Q. (2026, 08). Full Waveform Inversion Tomography of the San Francisco Bay Area. Poster Presentation at 2026 SCEC Annual Meeting. SCEC Contribution 15141
Doody, C., Lin, J., Kong, Q., Vazquez, L., Zou, C., Choi, Y., Rodgers, A. J., Azizzadenesheli, K., Ross, Z. E., & Clayton, R. W. (2025, 09). Seismic Simulations for Structure and Source Characterization in the Bay Area: Foundations for ML Acceleration of Waveform Modelling. Poster Presentation at 2025 SCEC Annual Meeting. SCEC Contribution 14968
Lin, J., Aguiar, A. C., Kong, Q., Price, A. C., & Myers, S. C. (2025, 09). Seismic Anomaly Detection and Instrument Health Forecasting with Deep Learning. Poster Presentation at 2025 SCEC Annual Meeting. SCEC Contribution 14734
Lin, J., Thomas, A. M., Melgar, D., Bachelot, L., & Toomey, D. R. (2023, 09). Detecting Hidden Low-Frequency Earthquakes in Southern Vancouver Island with Deep-Learning. Poster Presentation at 2023 SCEC Annual Meeting. SCEC Contribution 12980
Last updated Aug 10, 2026.
