About

• Provide research communities in Latin America and Africa with access to large-scale scientific infrastructure
• Develop community-based training materials for interactive cloud-native workflows in collaboration with The Carpentries, The Centre for Scientific Collaboration and Community Engagement (CSCCE), Invest in Open Infrastructure (IOI), MetaDocencia and Open Life Science (OLS)

• Accelerating and profiling data assimilation codes for space weather forecasts, which ingest up to 250GB per hour of data from hundreds of stations globally, and implementing interactive, web-based visualisations.
• Certified NVIDIA Instructor providing data engineering and deep learning training for researchers, and general high-performance computing support.

• Developed a model of differential equations describing the physics of phase change and compaction of a solid-liquid system, and solved them using finite volume methods in Python.

• Ran large-scale numerical simulations solving the magneto-hydrodynamic equations describing the Earth’s dynamo on high-performance computers using Fortran and OpenMP, and post-processed large data sets in Python.

A regime diagram for the slurry F-layer at the base of Earth’s outer core

Stably stratified layers within Earth’s core

A Boussinesq slurry model of the F-layer at the base of Earth’s outer core

Design and operation of a Rayleigh Ohnesorge jetting extensional rheometer (ROJER) to study extensional properties of low viscosity polymer solutions