Jemima M. Tabeart

Researcher in numerical linear algebra and data assimilation.

About me

I am a Hooke Fellow in the Mathematical Institute at the University of Oxford. My research interests include large scale numerical linear algebra (theory and applications), data assimilation, and treatment of covariance matrices. Alongside my research I’m interested in outreach and scientific crafting.

Photo of Jemima - she is wearing a blue denim dress and a red cardigan, and she is standing in front of a white wall

News

I’ve just started a Hooke Fellowship in Oxford!

Successful grant funding from UNA Europa - Seed Funding DIGITALIZED! for the research project “Tensor-based Optimal Control approaches for Deep learning - TOC4Deep” Find out more here. See the website for information on events, and videos from past workshop talks.

I co-organised a workshop in April 2022 in Edinburgh on Recent Advances in Numerical Linear Algebra: Talks are on the website if you weren’t able to join us in person https://www.icms.org.uk/workshops/2022/recent-advances-numerical-linear-algebra-pdes-optimization-and-data-assimilation

Work and education history

Find my CV here

October 2022 - Present: Fulford Non-Stipediary Fellow at Somerville College

September 2022 - Present: Hooke Fellow in the Mathematical Institute at the University of Oxford in the Numerical Analysis group.

2019 - August 2022: PDRA in the School of Mathematics at The University of Edinburgh working with Dr John W. Pearson

Spring 2020: Semester Postdoctoral Fellow at the Institute for Computational and Experimental Research in Mathematics at Brown University

2016 - 2019: PhD at the University of Reading with Professor Sarah Dance, Dr Amos Lawless, Professor Nancy Nichols and Dr Joanne Waller. Read my thesis here

2015 - 2016: MRes at Imperial College, London and University of Reading as part of the Mathematics of Planet Earth Centre for Doctoral Training

2011 - 2015: MMath at the University of Bath with Study Year Abroad at Université Joseph Fourier (now Université Grenoble Alpes)

Some recent papers

My google scholar profile

Stein-based preconditioners for weak-constraint 4D-var

Davide Palitta and Jemima M. Tabeart

Model Reduction of Linear Dynamical Systems via Balancing for Bayesian Inference

Elizabeth Qian, Jemima M. Tabeart, Christopher Beattie, Serkan Gugercin, Jiahua Jiang, Peter R. Kramer and Akil Narayan

Saddle point preconditioners for weak-constraint 4D-Var

Jemima M Tabeart and John W Pearson

The conditioning of least squares problems in preconditioned variational data assimilation

Jemima M Tabeart, Sarah L Dance, Amos S Lawless, Nancy K Nichols, Joanne A Waller

The impact of using reconditioned correlated observation‐error covariance matrices in the Met Office 1D‐Var system

Jemima M Tabeart, Sarah L Dance, Amos S Lawless, Stefano Migliorini, Nancy K Nichols, Fiona Smith, Joanne A Waller

Improving the condition number of estimated covariance matrices

Jemima M Tabeart, Sarah L Dance, Amos S Lawless, Nancy K Nichols, Joanne A Waller

The conditioning of least‐squares problems in variational data assimilation

Jemima M Tabeart, Sarah L Dance, Stephen A Haben, Amos S Lawless, Nancy K Nichols, Joanne A Waller

Other activities

I’m a co-organiser of the Communications in Numerical Linear Algebra series: find out more at our website or catch up on previous talks on our Youtube channel

Watch me present a recent pre-print

Follow me on Twitter @jemimatabeart for updates and photos of my crafting efforts

Since moving to Scotland I’ve started Munro bagging - my latest stats are here!

Photo of Jemima standing in the hills in front of a dam/loch. She is wearing shorts, a woolly hat, an orange body warmer and hiking boots.