Graduate Student Researcher
Zach Crennen is a PhD student at the Halıcıoğlu Data Science Institute at UC San Diego and an NSF CSGrad4US fellow. Prior to SDSC, he worked as a postbaccalaureate researcher at Los Alamos National Laboratory, where he maintains an affiliation with the Earth and Environmental Sciences division. His previous research has focused on remote sensing and machine learning for wildland fire and fuels modeling, including deep learning for canopy height modeling, tree species classification, and prescribed fire detection. He graduated magna cum laude from Colorado School of Mines in December 2024 with a degree in Computer Science focused on Data Science.
