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…Oct 1, 2021Oct 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…Jun 24, 2021Jun 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…May 21, 2021May 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…May 19, 2021May 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…Dec 7, 2020Dec 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…Jan 28, 2020Jan 28, 2020