Summary
Daniel Cusworth is a Director of Science and environmental data scientist with a decade of experience blending atmospheric chemistry, applied mathematics, and remote sensing to trace sources and transport of air pollution. He leads science strategy at Carbon Mapper while holding research and affiliate roles at the University of Arizona and NASA JPL, developing multi-tier observing systems and satellite methane retrievals. His work pairs rigorous Bayesian inverse methods and large noisy datasets to detect super-emitter events and quantify regional pollution impacts, informing science, policy, and industry. Trained at Harvard (PhD in Atmospheric Chemistry, MS in Applied Math) and UCLA (Math & Atmospheric Science), he moves fluidly between field, airborne, and spaceborne measurement scales. A film buff and baseball watcher, he sometimes brings storytelling instincts and sports-statistics intuition to scientific modeling and communication.
10 years of coding experience
7 years of employment as a software developer
Ph.D. Atmospheric Chemistry, Ph.D. Atmospheric Chemistry at Harvard University
University of California, Los Angeles
English, Portuguese, Spanish