David E Keyes

Professor David E Keyes is a faculty member at King Abdullah University of Science and Technology (KAUST), Saudi Arabia. He is part of a 12-member international team that won the 2024 ACM Gordon Bell Prize for Climate Modelling for pioneering exascale climate emulation techniques.

Research Interests: His work focuses on high-performance computing (HPC) solutions for climate science, including Earth System Models (ESMs), data storage optimization, and the application of machine learning (ML) to climate modelling. The team's research leverages exascale supercomputers and mixed-precision algorithms to enhance computational efficiency and spatial resolution (0.034°, ~3.5 km) for more accurate climate predictions.

Scientific Awards:

• 2024 ACM Gordon Bell Prize for Climate Modelling

Collaborative Impact: The project, involving supercomputers like Frontier and Leonardo, achieved exascale-level simulations (318 billion hourly observations) while reducing storage needs by orders of magnitude. This work bridges computational science, climate physics, and AI, offering transformative potential for climate policy and future climate forecasting systems.