Research Software Engineer
Forecast, Development, Data Processing Services
Summary:
Harrison Cook is a Research Software Engineer at ECMWF, with a focus on Machine Learning for weather, software development, and scientific evaluation. He is passionate about empowering scientists and providing them with the tools to advance their work, particularly in the rapidly evolving fields of Machine Learning and Artificial Intelligence. Harrison works on large-scale software systems that process vast amounts of meteorological data, ensuring their impact benefits both users and member states.
Professional interests:
- Machine Learning for Weather
- Software Development for Large-Scale Systems
- Empowering Scientific Research
- Working in Collaborative, Cross-Disciplinary Software Teams
Career background:
Job History:
- 2024 - Present: Research Software Engineer, ECMWF
- 2022 - 2024: Data Scientist, Bureau of Meteorology, Australia
Education:
- 2021: Bachelor of Science and IT, Queensland University of Technology (QUT)
- 2025
- Lorenzo Zampieri, Harrison Cook, Rachel Furner, Sara Hahner, Florian Pinault, Baudouin Raoult, Nina Raoult, Mario Santa Cruz, Matthew Chantry (March 2025) Coupling approaches for data-driven Earth system models. DOI: 10.5194/egusphere-egu25-4499
- 2024
- Edison Guo, Maruf Ahmed, Yue Sun, Rui Yang, Tennessee Leeuwenburg, Ben Evans, Harrison Cook (May 2024) FourCastNeXt: Optimizing FourCastNet Training for Limited Compute. DOI: 10.48550/ARXIV.2401.05584
- Tennessee Leeuwenburg, Nicholas Loveday, Elizabeth E. Ebert, Harrison Cook, Mohammadreza Khanarmuei, Robert J. Taggart, Nikeeth Ramanathan, Maree Carroll, Stephanie Chong, Aidan Griffiths, John Sharples (July 2024) scores: A Python package for verifying and evaluating models and predictions with xarray, Journal of Open Source Software. DOI: 10.21105/joss.06889