Beth works on the Pest and Disease risk modeling team within Geospatial Science. She leads our program on airborne transport of pathogens, currently focusing on southern rust in corn. She has previous worked in several applications of spatio-temporal modeling. Beth worked for two years on Climate’s Weather Science team and was the science lead for Climate’s in-house real-time radar pipeline used for field-level rainfall estimates. She translated specific performance needs of our key stakeholder, Climate’s Nitrogen Model, into tasks for a two-month sprint including 6 data scientists and delivered the final algorithms to engineering in time for inclusion in our 2017 product. She also developed and led the execution of a validation framework to ensure that the real-time production system rainfall estimates built by engineering would deliver rainfall estimates with the same accuracy as the research pipeline.Before Climate, Beth measured and modeled the evolution of the universe using three-dimensional maps of galaxies from the Sloan Digital Sky Survey, first as a Hubble Fellow and then an inaugural Data Science Fellow at the Berkeley Institute for Data Science. She received her Ph.D. in physics from Princeton University.