Rachel PruddeninMet Office Informatics LabDeep generative nowcasting: Nature publicationWe are happy to announce that our collaboration with Google DeepMind on applying deep learning techniques to precipitation nowcasting has…1 min read·Oct 1, 2021----
Rachel PruddeninMet Office Informatics LabProbabilistic 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…2 min read·Jun 24, 2021----
Rachel PruddeninMet Office Informatics LabSpatial Reasoning in Random Field Models: Part IIIn Part I of this series, we discussed the mathematics underpinning Gaussian process (GP) and Gaussian random field (GRF) models, how they…5 min read·May 21, 2021----
Rachel PruddeninMet Office Informatics LabSpatial Reasoning in Random Field Models: Part IGaussian processes (GPs) are a probabilistic model used for a wide range of ML and stats. They appear in many different contexts including…8 min read·May 19, 2021----
Rachel PruddeninMet Office Informatics LabProbabilistic programming for event detectionImagine you are a scientist, studying a particular kind of event: perhaps a volcanic eruption or a lightning strike. You have some data in…7 min read·Dec 7, 2020----
Rachel PruddeninMet Office Informatics LabArrays on-the-flyWorking in the Informatics Lab often involves working with very large multidimensional datasets. The Pangeo ecosystem has great tools for…5 min read·Jan 28, 2020----