Summary
Daniel Holdaway is a physical scientist with 8 years of experience specializing in data assimilation for numerical weather prediction, leading the transition of the JEDI system from research to operations at NOAA. With a PhD in Mathematics and a strong computational science background, he builds end-to-end assimilation systems, including 4DVar and adjoint-based tools, and has implemented tangent-linear and adjoint models for FV3 and other core components. He blends theoretical depth with practical software delivery, having led Agile teams to integrate JEDI with NASA GEOS and NOAA GFS and to deliver operational-grade workflows. His work uniquely spans sensitivity analysis, observation impact tools, and background error covariance optimization—skills applied to real-world problems from hurricane track sensitivity to stratospheric vortex dynamics. Based in Washington, DC, he is valued for coordinating multi-agency efforts and translating advanced research into robust, production-ready systems.
8 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD), Mathematics, Doctor of Philosophy (PhD), Mathematics at University of Exeter