About Me

My name is Will Bodeau and I’m a PhD student at UC San Diego’s Halıcıoğlu Data Science Institute. My research interests sit at the intersection of spatial statistics and machine learning, and their applications in Earth and climate science. I’m also drawn to how the same statistical challenges recur across spatially dependent systems, from remote sensing to biomedical imaging, and the opportunity to translate solutions across these domains.

I received my B.S. in Statistics and Data Science from UCLA, with a minor in Atmospheric and Oceanic Sciences. During my undergraduate studies I worked across several research areas, including antimicrobial resistance in E. coli from agricultural runoff, annotation subjectivity in single-cell RNA sequencing pipelines, and space-based coastal flood observation at NASA JPL’s Sea Level and Ice group, where I integrated SWOT satellite altimetry with tide gauge records. I was most recently a summer Research Intern in NASA JPL’s Solid Earth and Ice Group, contributing to open-source Julia tutorials as part of the JuliaGeo community, as well as performing EDA on an ITS_LIVE dataset of global glacier acceleration.