I'm a PhD student  at Virginia Tech working with Dr W. Steven Holbrook. I am passionate about applying mathematical models, signal processing, and scientific machine learning to geophysical datasets in order to uncover hidden subsurface structures with greater accuracy. My research centers on imaging Earth's subsurface using near-surface active-source geophysical methods with a specialization in seismic and electrical resistivity tomography. 

I have a Master with a major in applied geophysics. Previously I worked on modelling 2D and 3D electrical resistivity data to map the subsurface for groundwater prospects. Before joining graduate school, I was also part of a team that works on airborne electromagnetic surveys for groundwater applications (e.g., high-resolution aquifer mapping, managed aquifer recharge, etc.).

Currently, I’m focusing on full-waveform inversion (FWI) and uncertainty quantification in geophysical inversions using geostatistical techniques. One of my ongoing researches involves high-resolution 3D seismic imaging of the critical zone beneath the world’s largest trees, giant Sequoias. 

Building my experience with seismic data and computational tools, I am also enthusiastic about extending these methods to the energy industry applications, such as geothermal power, carbon capture and storage, to support sustainable and efficient subsurface resource management. I have a growing interest in rock physics models and geofluids and I’m always excited to collaborate and exchange ideas with reservoir engineers, geologists, and other domain experts to address complex subsurface challenges together.