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About Me

I am Data Scientist / Software Engineer which stumbled into the field of Meteorology, and boy is it fun.

I am passionate about empowering Scientists to do science, which is ever more important in this rapidly changing field of Machine learning and Artificial Intelligence.

I have experience developing large software packages and tools working with environmental data at 100+PB scales.

I am particularly interested in the application of ML & AI models to enhance weather forecasts. I firmly believe a proper scientific approach is needed to understand the impact these new technologies will have.

Career

European Centre for Medium-Range Weather Forecasts (ECMWF)

Research Software Engineer

Working within the Data Processing Services Team of the Development Section, and partially embedded within the Innovation Platform.

Working to explore Machine Learning applications for weather forecasting, and analysis.

2024
Bureau of Meteorology, Australia

Data Scientist
2 years 5 months

Within this role I was the technical lead of the development of PyEarthTools. A framework to enable Machine Learning (ML) Research for Weather Modelling.

I was additionally embedded in the Bureau’s Coupled Modelling team, exploring the applications of ML for a multiweek to subseasonal prediction system.

  • Technical Lead of PyEarthTools
  • Contributed to scores
  • Contributed to ML Earth System Model Verification
    • GraphCast, SFNO, Pangu, etc..
  • Coordinated discussion forums with Universties
2024
Queensland University of Technology

4 years

Bachelor of IT and Science. Computer Science and Physics.

Graduated with Honours.

2022

Publications

Working with some fantastic people has meant I have had the opportunity to contribute to a collection of papers.

Guo, Edison et al.. FourCastNeXt: Optimizing FourCastNet training for limited compute. ,.doi: 10.48550/arXiv.2401.05584.

Leeuwenburg, Tennessee et al. (2024 6). Scores: A python package for verifying and evaluating models and predictions with xarray and pandas. ,.http://arxiv.org/abs/2406.07817.