I am a Postdoctoral Scholar 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. I have a background in computational modeling of soil mechanics at the discrete, continuum and regional scales, with emphasis on soil liquefaction.
I have a passion for science communication and was selected by the California Council on Science and Technology to present my research to California policy makers at a showcase in February 2019. Outside of research, I enjoy soccer, theater and improv.