My research uses satellite radar interferometry (InSAR) to measure millimeter-level changes to Earth’s surface over time. InSAR has a huge variety of geophysical applications, like mapping ground deformation due to the 2018 eruption of Kilauea:
At NASA’s Jet Propulsion Laboratory, I led the algorithm development team for the OPERA Sentinel-1 Surface Displacement product, the first continental-scale InSAR ground motion product over North America.
During my Ph.D., I used InSAR to monitor surface changes over the Permian Basin in West Texas, the largest oil-producing region in the United States. To help mitigate the rising number of induced earthquakes, I worked with geologists and seismologists to deliver observational datasets and help understand the causes of the earthquakes.
You can find my full publication list on my Google Scholar profile.
I am an active contributor to the open source InSAR community. For the OPERA project, I developed the dolphin library, which is a Python package implementing advanced multi-temporal “PS/DS” (combined Persistent Scatterer/Distributed Scatterer) processing and phase linking algorithms. This library is the core of software used to generate the OPERA North America Surface Displacement product.
I am also a maintainer or contributor to dozens of other open source packages on GitHub.
I presented two talks at the EarthScope 2025 ISCE Short Course:
dolphin for high resolution PS/DS processingNear-real-time estimation of ground displacement time series with InSAR