As part of their "Working Smarter" series interviewing AI experts about how they leverage machine learning to solve interesting problems and dramatically change the way we work for the better, cloud storage company Dropbox interviewed ICCS Research Software Engineer in an article entitled "How Cambridge scientists use machine learning to improve climate modeling."
The article begins: "When I first heard about the supergroup of scientists at The Institute of Computing for Climate Science who are banding together to fight the climate crisis, I couldn’t help but picture The Avengers joining forces against Thanos.
It’s easy to start ruminating on worst-case scenarios when you think about climate change. But it gives me hope to hear about the engineers, scientists, and physicists at the University of Cambridge collaborating on ideas that could bring about best-case scenarios in an uncertain time.
The ICCS team is dedicated to improving climate forecasting models and using that information to change policy. It’s an effort comprised of brilliant minds with skills so exceptionally diverse, Cambridge Zero director and ICCS leader Emily Shuckburgh considers it a “radical collaboration.”
We spoke to one of her collaborators, research software engineer Jack Atkinson, to learn how he and the ICCS team are using machine learning to improve computational modeling as they pursue a solution to the climate crisis."