Summary
Andrew Pauling is a research fellow and climate scientist with nine years’ experience running and analysing state-of-the-art Earth system models, specialising in polar climate variability and change. He combines deep domain expertise in Antarctic and Arctic processes with strong data-science chops, routinely handling terabytes of model output using Python tooling such as xarray and dask and Pangeo infrastructure. Andrew has hands-on HPC experience compiling and modifying major climate models (CESM, GFDL-FV3, HadGEM3) and contributed to porting a radiation scheme into GT4Py, bridging legacy Fortran models and modern Python DSLs. His work spans from single-column models to fully coupled simulations and includes practical software engineering practices (git, CI, cloud) learned during industry and academic placements. A Fulbright New Zealand Science and Innovation Awardee with a PhD from the University of Washington, he pairs rigorous research credentials with reproducible, production-oriented coding practices. Notably, he has translated core climate model components into Python, enabling more accessible testing and development within the climate modeling community.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Atmospheric Sciences: Advanced Data Science Option, Doctor of Philosophy - PhD, Atmospheric Sciences: Advanced Data Science Option at University of Washington
Master of Science - MS, Physics, A, Master of Science - MS, Physics, A at University of Otago