Jemima M. Tabeart

Jemima M. Tabeart is an Assistant Professor in the Computational Science group at TU Eindhoven, within the Centre for Analysis, Scientific Computing and Applications. Her research focuses on large-scale numerical linear algebra, data assimilation, and covariance matrices. She also engages in scientific outreach and crafting. Prior roles include a Hooke Fellowship at the University of Oxford and a PDRA position at the University of Edinburgh.

Education: PhD in Mathematics from the University of Reading (2019), MRes in Mathematics of Planet Earth from Imperial College London and Reading (2016), MMath from the University of Bath (2015) with a study year at Université Grenoble Alpes.

Research interests span numerical linear algebra applications, preconditioning techniques, and variational data assimilation. She co-organizes the 2025 CWI research semester and the 4TU.AMI initiative bridging numerical analysis and machine learning. Her recent work includes advancements in saddle point preconditioners and model reduction techniques for Bayesian inference.

Teaching responsibilities at TU Eindhoven include courses on linear algebra and differential equations. She actively supervises Bachelor/Master projects and has one PhD student. Awards and grants include funding from the INI Network Support for Mathematical Sciences.

Professional activities include blogging about sustainable travel and co-organizing the Communications in Numerical Linear Algebra series, with talks available on YouTube.