I am a Project Scientist in the Energy Geosciences Division. My current research involves applying machine learning algorithms to integrate data and high performance watershed models. Specifically, I am working towards spatial downscaling for generating high-resolution estimates of meteorological variables such as precipitation and temperature. Additionally, I am working towards developing machine learning approaches to model fault reactivation processes for nuclear waste disposal. I also have a background in computational modeling of soil mechanics at the discrete, continuum and regional scales, with emphasis on soil liquefaction.