Summary
Timothy Hilton is a carbon cycle scientist with a rare blend of computer science and atmospheric science, bringing 11–18 years of experience designing experiments, building data pipelines, and creating visualizations for complex climate and atmospheric models. He has a PhD in meteorology and a Princeton BSE in computer science, and has applied that training to implement large-scale data architectures that securely store and serve terabytes of observational and model data. Timothy excels at melding data with models to produce statistically robust, probabilistic model comparisons and confidence intervals that inform real-world decisions about carbon fluxes. His work spans academia and government labs—from revamping eddy-covariance pipelines and deploying land models on supercomputers to developing carbonyl sulfide as a tracer for ecosystem photosynthesis. Based in New Zealand and telecommuting from Denver for prior roles, he combines field-network experience with production-quality software engineering to operationalize scientific insight. He is especially effective at turning complex, noisy ecosystem observations into reproducible, auditable inputs for quantitative models.
11 years of coding experience
7 years of employment as a software developer
PhD, Meteorology, PhD, Meteorology at Penn State University
BSE, Computer Science, BSE, Computer Science at Princeton University