Tackling climate change as a research software engineer
Host
Alan Edelman
CSAIL MIT
## Title:
Tackling climate change as a research software engineer
## Abstract:
In this talk I would like to give a high-level overview of the work we carry out in ICCS. How we work with our scientific collaborators to solve research problems and in-house software we have developed to facilitate the addition of ML into legacy weather and climate models. Specifically, we have several groups working with Fortran codes which are now looking to incorporate PyTorch ML models into their existing programs. I also have a keen interest in tooling and I would like to introduce an MPI-aware debugger called mdb, which I am currently developing.
## Bio:
Tom Meltzer is a senior Research Software Engineer working at the Institute of Computing for Climate Science (ICCS), based at the University of Cambridge. He specializes in high-performance computing, working with scientists to optimize and improve their software to drive better research outcomes. He is currently working on a next generation sea-ice model (NextSimDG), writing a parallel backend using MPI. Before transitioning to research software engineering, he was a atomic and molecular physicist. He obtained his PhD from University College London.
Tackling climate change as a research software engineer
## Abstract:
In this talk I would like to give a high-level overview of the work we carry out in ICCS. How we work with our scientific collaborators to solve research problems and in-house software we have developed to facilitate the addition of ML into legacy weather and climate models. Specifically, we have several groups working with Fortran codes which are now looking to incorporate PyTorch ML models into their existing programs. I also have a keen interest in tooling and I would like to introduce an MPI-aware debugger called mdb, which I am currently developing.
## Bio:
Tom Meltzer is a senior Research Software Engineer working at the Institute of Computing for Climate Science (ICCS), based at the University of Cambridge. He specializes in high-performance computing, working with scientists to optimize and improve their software to drive better research outcomes. He is currently working on a next generation sea-ice model (NextSimDG), writing a parallel backend using MPI. Before transitioning to research software engineering, he was a atomic and molecular physicist. He obtained his PhD from University College London.