Hi, I'm Trent!
PhD Candidate in Earth System Science at Stanford University
About Me
I am a PhD candidate in the Remote Sensing Ecohydrology Group at Stanford University. I seek to improve our ability to model the terrestrial water cycle by better representing vegetation variability in hydrologic models. I use physical models, remote sensing data, and machine learning methods to pursue my research goals.
I grew up in Southern California where I developed my love for trail running, climbing, and all things outdoors. I am a graduate of the University of Notre Dame, where I received my B.S. in Environmental Sciences and a minor in Catholic Social Tradition.
My current research projects
Improving land surface model predictions of evapotranspiration and streamflow by better representing vegetation variability
Validating the accuracy of vegetation traits retrieved from a combination of process-based and machine learning models
