Matthew Chantry

Strategic Lead for Machine Learning
Forecast, Earth System Modelling, Innovation Platform

Summary:
Matthew Chantry is the Strategic Lead for Machine Learning at ECMWF and Head of the Innovation Platform. Matthew works across ECMWF to advise and coordinate on adoption of machine learning across ECMWF's mission. He champions the AIFS, which is delivering machine learning forecasting systems to operational forecasting. Work at ECMWF on these projects is distributed across an organisation, meaning Matthew must coordinate developments across departments, sections and teams. Matthew works closely with Member States in the co-development of Anemoi as a shared machine learning framework for data-driven forecasting systems. He also advises the ECMWF directorate on future directions for ML-based development.
Professional interests:
  • Machine learning
  • Atmospheric modelling
  • Open-source software development
  • Research to operations
Career background:

Professional experience

  • Strategic Lead for Machine Learning 2025 - present
  • Machine Learning Coordinator, 2023 - 2025
  • Scientist, Earth System Modelling, Research Department, 2021 - 2023
  • Postdoctoral researcher at the University of Oxford on reduced numerical precision and machine learning in weather and climate forecasting, 2016 - 2021
  • Postdoctoral researcher at ESPCI, Paris on pattern formation in the transition to turbulence, 2014 - 2016

Education

  • Ph.D. in Applied Mathematics (2014) from the University of Bristol, titled: "Localization in transitional shear flows"
  • M.Math in Applied Mathematics (2010) from the University of St Andrews