In 2022 I transitioned from research in computational astrophysics to healthcare system modelling. I found most of the tools, techniques, and skills acquired during my work in astrophysics to be readily translatable to the new field, and the collaboration with experts from different backgrounds an extremely positive and stimulating experience for all those involved. In this talk, I will...
Current and upcoming astronomical surveys (e.g., SKA, LSST, Euclid, or even ALMA) present a significant data processing challenge, with data volumes that overwhelm traditional, single-node analysis workflows. Many of our community's essential analysis tools are built within the Python ecosystem, but they often struggle to scale to the high-performance computing (HPC) resources required for...
The quantities of data produced by next generation instruments such as the SKA, the DSA2000 and the ngVLA require new software ecosystems to convert observational data into science ready data products.
Traditionally, such scales of data and compute are solved using traditional HPC software and infrastructure. While this approach is still relevant going forward, the advent of (1) ubiquitous...
