Research Summary
My research in observational seismology uses voluminous seismic data to understand earthquake processes and the Earth's interior. As a data-driven science, seismology advances with increasing amount of seismic data, improved computational and experimental tools. My Ph.D. thesis has focused on crustal anisotropy using split shear waves. I also has investigated the use of Large-N arrays and developed novel techniques for high-resolution detection of general seismic events. Now, as a postdoc at Caltech, I am striving to introduce machine learning into seismology, particularly into earthquake early warning systems. Generally, I am excited to explore broad interdisciplinary studies between seismology and other Science/Engineering branches, which I would like to coin as Seismology+X.
1. Machine Learning & Earthquake Early Warning
2. Large-N/DAS Arrays & Microseismic Detection
3. Fault Zone Structures & Crustal Anisotropy