TLDR bio: I solve scientific problems using data, computer programs, and AI.
Technical bio: I utilize and develop quantitative techniques and computational tools to derive insights from data and models. In a broad context, I am interested in solving data-driven problems with software and sensors. My recent research comprises:
- constraining the stress state in Earth’s crust at enigmatic depths by inverting slow-earthquake slip vectors
- inferring landslide mechanics via microseismic events from machine learning-based automated time series signal detection and association techniques, event locations, and source analysis
- constraining vertical land motion in coastal Washington via multi-methods interpolation
- inventing a hardware interface with nodal seismic sensors to improve sensor alignment
- automating object detection, classification, and shape parametrization of volcanics images via computer vision techniques
Explore my past and current research in seismology and computational science.
Earthquake Seismology at University of Oregon
We research seismotectonics, fault mechanics, and crustal deformation via observation and modeling.