Department of Mathematics, The University of Manchester
Nick Higham is Royal Society Research Professor and Richardson Professor of Applied Mathematics. His research focuses on the development of algorithms, primarily in numerical linear algebra, and analysis of their accuracy and stability. Current research topics include functions of matrices, rounding error analysis, and matrix nearness and completion problems. In particular, he is developing effective mixed precision algorithms that exploit GPUs and other many-core processors. Nick is a Fellow of the Royal Society, a SIAM Fellow, and a Member of Academia Europaea. He publishes a blog about applied mathematics.
Françoise Tisseur is Professor of Numerical Analysis and Director of the Manchester Institute of Mathematical Sciences. Her work focuses on nonlinear eigenvalue problems and structured matrix problems, including the development of algorithms and software. She is a member of the editorial boards of the SIAM Journal on Matrix Analysis and Applications and the IMA Journal of Numerical Analysis. She is a SIAM Fellow.
Jack Dongarra holds appointments at the University of Tennessee, Oak Ridge National Laboratory, and the University of Manchester. He specializes in numerical algorithms in linear algebra, parallel computing, use of advanced-computer architectures, programming methodology, and tools for parallel computers. His recent awards include the SIAM Special Interest Group on Supercomputing’s award for Career Achievement in 2010; the IEEE Charles Babbage Award in 2011; the ACM/IEEE Ken Kennedy Award in 2013; the SIAM/ACM Prize in Computational Science and Engineering in 2019; and the IEEE Computer Society’s Computer Pioneer Award in 2020. He is a Foreign Member of the Royal Society, a member of the US National Academy of Engineering, a foreign member of the Russian Academy of Science, and a Fellow of the AAAS, ACM, IEEE, and SIAM.
Sven Hammarling is currently a Senior Honorary Research Fellow. He is a SIAM Fellow, an Honorary Principal Consultant at NAG Ltd and an IMA Fellow.
Stefan Güttel is Reader in Numerical Analysis and PhD Director of Applied Mathematics. His work focuses on iterative methods for solving high-dimensional problems arising with differential equations and in data-driven applications, including the development of algorithms and software (such as the Rational Krylov Toolbox). He is Associate Editor for the SIAM Journal on Scientific Computing and has been awarded a Turing Fellowship.
Marcus Webb is a Lecturer in Applied Mathematics. His research grapples with foundational aspects of the numerical solution of differential equations, in particular approximation theory and numerical linear algebra. On the numerical linear algebra side, his interests lie in extremely ill conditioned least squares problems and infinite dimensional spectral problems.
Roberto Cahuantzi earned a PhD in the department of Physics and Astronomy at the University of Sheffield in 2019, in which he studied the measurement and characterisation of solar spectral irradiance. He is currently researching Machine Learning models applied to the symbolic representation of time series. His ultimate goal is to use his skills to contribute to the creation of a more sustainable society through data-driven decisions.