About me
I am an Assistant Professor in the Computer Science group at TU Eindhoven. 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. Contact me at j[.]m[.]tabeart[at]tue[.]nl
News
Together with Alison Ramage, Amos S. Lawless, Selime Gurol, Jennifer Scott and Melina Freitag our network on Preconditioning for Variational Data Assimilation Problems was funded by the INI Network Support for Mathematical Sciences. Find out more here.
New paper with Davide Palitta just appeared in the Journal of Computational Physics.
I’ve won a LMS Research in Pairs grant to fund research visits between Oxford and Edinburgh to continue working with John W. Pearson in Edinburgh.
I’ve recently started a new position at TU Eindhoven and moved to the Netherlands! I’m looking forward to new adventures on the mathematical and geographical fronts.
Work and education history
Find my CV here October 2023 - Present: Assistant Professor at TU Eindhoven
October 2022 - October 2023: Fulford Non-Stipediary Fellow at Somerville College
September 2022 - October 2023: 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
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 or @jemimatabeart.bsky.social for updates and photos of my crafting efforts
I blog about my exploits via active travel and public transport at Adventures of a Mathematician
Since moving to Scotland I’ve started Munro bagging - my latest stats are here!
