Jennifer Scott

Jennifer Scott is a Professor of Applied Mathematics at the University of Reading (0.6 FTE) and holds part-time roles as a Principal Researcher and STFC IM Fellow at the Rutherford Appleton Laboratory (0.3 FTE). She leads the Computational Mathematics Group and directs the EPSRC Centre for Doctoral Training in Mathematics for Future Climate (2024–present). Her research focuses on sparse linear algebra, numerical analysis, and large-scale computational methods, with contributions to the HSL mathematical software library.

Education:

• BA Hons (I) Mathematics, University of Oxford, 1981
• DPhil Mathematics, University of Oxford, 1984

Research Interests: Jennifer’s work emphasizes sparse matrix algorithms, preconditioning techniques, and scalable numerical methods for scientific computing. She has pioneered advancements in sparse direct solvers, out-of-core techniques, and limited memory preconditioners. Her contributions to HSL have enabled efficient solutions to large-scale linear systems in engineering and environmental modeling.

Awards & Affiliations:

• Fellow of SIAM and IMA
• Former President of SIAM UKIE (2021–2023)
• Elected member of IFIP Working Group 2.5

Grants & Collaborations: Her research has been funded by EPSRC grants, and she co-authored the monograph Algorithms for Sparse Linear Systems (2023, Springer). She leads interdisciplinary projects in computational mathematics and climate modeling through the Mathematics of Planet Earth and Future Climate CDT programs.

Labs & Teams: Jennifer is affiliated with the Computational Mathematics Group at STFC and collaborates with the EPSRC Centres for Doctoral Training at Reading, Imperial College London, and Southampton.