Rachel Prudden – Medium

Rachel Prudden

Published in
Met Office Informatics Lab

Deep generative nowcasting: Nature publication

We are happy to announce that our collaboration with Google DeepMind on applying deep learning techniques to precipitation nowcasting has…

Oct 1, 2021

Deep generative nowcasting: Nature publication

Oct 1, 2021

Published in
Met Office Informatics Lab

Probabilistic Reasoning (Seminar)

I recently had the opportunity to give a seminar as part of the Oxford ML and Physics seminar series. I talked about probabilistic…

Jun 24, 2021

Probabilistic Reasoning (Seminar)

Jun 24, 2021

Published in
Met Office Informatics Lab

Spatial Reasoning in Random Field Models: Part II

In Part I of this series, we discussed the mathematics underpinning Gaussian process (GP) and Gaussian random field (GRF) models, how they…

May 21, 2021

Spatial Reasoning in Random Field Models: Part II

May 21, 2021

Published in
Met Office Informatics Lab

Spatial Reasoning in Random Field Models: Part I

Gaussian processes (GPs) are a probabilistic model used for a wide range of ML and stats. They appear in many different contexts including…

May 19, 2021

Spatial Reasoning in Random Field Models: Part I

May 19, 2021

Published in
Met Office Informatics Lab

Probabilistic programming for event detection

Imagine you are a scientist, studying a particular kind of event: perhaps a volcanic eruption or a lightning strike. You have some data in…

Dec 7, 2020

Probabilistic programming for event detection

Dec 7, 2020

Published in
Met Office Informatics Lab

Arrays on-the-fly

Working in the Informatics Lab often involves working with very large multidimensional datasets. The Pangeo ecosystem has great tools for…

Jan 28, 2020

Arrays on-the-fly

Jan 28, 2020

Rachel Prudden

Rachel Prudden

Rachel is a researcher in the Informatics Lab. Her current focus is on probabilistic super-resolution of weather models at convective scales.

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