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James Hardy Wilkinson FRS was a prominent figure in the field of numerical analysis, a field at the boundary of applied mathematics and computer science particularly useful to physics and engineering.
Society for Industrial and Applied Mathematics (SIAM) is a professional society dedicated to applied mathematics, computational science, and data science through research, publications, and community. SIAM is the world's largest scientific society devoted to applied mathematics, and roughly two-thirds of its membership resides within the United States. Founded in 1951, the organization began holding annual national meetings in 1954, and now hosts conferences, publishes books and scholarly journals, and engages in advocacy in issues of interest to its membership. Members include engineers, scientists, and mathematicians, both those employed in academia and those working in industry. The society supports educational institutions promoting applied mathematics.
Lloyd Nicholas Trefethen is an American mathematician, professor of numerical analysis and until 2023 head of the Numerical Analysis Group at the Mathematical Institute, University of Oxford.
Germund Dahlquist was a Swedish mathematician known primarily for his early contributions to the theory of numerical analysis as applied to differential equations.
Nicholas John Higham FRS was a British numerical analyst. He was Royal Society Research Professor and Richardson Professor of Applied Mathematics in the Department of Mathematics at the University of Manchester.
Chi-Wang Shu is the Theodore B. Stowell University Professor of Applied Mathematics at Brown University. He is known for his research in the fields of computational fluid dynamics, numerical solutions of conservation laws and Hamilton–Jacobi type equations. Shu has been listed as an ISI Highly Cited Author in Mathematics by the ISI Web of Knowledge.
Andrew M. Stuart is a British and American mathematician, working in applied and computational mathematics. In particular, his research has focused on the numerical analysis of dynamical systems, applications of stochastic differential equations and stochastic partial differential equations, the Bayesian approach to inverse problems, data assimilation, and machine learning.
Endre Süli is a mathematician. He is Professor of Numerical Analysis in the Mathematical Institute, University of Oxford, Fellow and Tutor in Mathematics at Worcester College, Oxford and Adjunct Fellow of Linacre College, Oxford. He was educated at the University of Belgrade and, as a British Council Visiting Student, at the University of Reading and St Catherine's College, Oxford. His research is concerned with the mathematical analysis of numerical algorithms for nonlinear partial differential equations.
Sir Martin Hairer is an Austrian-British mathematician working in the field of stochastic analysis, in particular stochastic partial differential equations. He is Professor of Mathematics at EPFL and at Imperial College London. He previously held appointments at the University of Warwick and the Courant Institute of New York University. In 2014 he was awarded the Fields Medal, one of the highest honours a mathematician can achieve. In 2020 he won the 2021 Breakthrough Prize in Mathematics.
Arieh Iserles is a computational mathematician, currently Professor of the Numerical Analysis of Differential Equations at the University of Cambridge and a member of the Department of Applied Mathematics and Theoretical Physics.
Terence John LyonsFLSW is a British mathematician, specialising in stochastic analysis. Lyons, previously the Wallis Professor of Mathematics, is a fellow of St Anne's College, Oxford and a Faculty Fellow at The Alan Turing Institute. He was the director of the Oxford-Man Institute from 2011 to 2015 and the president of the London Mathematical Society from 2013 to 2015. His mathematical contributions have been to probability, harmonic analysis, the numerical analysis of stochastic differential equations, and quantitative finance. In particular he developed what is now known as the theory of rough paths. Together with Patrick Kidger he proved a universal approximation theorem for neural networks of arbitrary depth.
Weinan E is a Chinese mathematician. He is known for his pathbreaking work in applied mathematics and machine learning. His academic contributions include novel mathematical and computational results in stochastic differential equations; design of efficient algorithms to compute multiscale and multiphysics problems, particularly those arising in fluid dynamics and chemistry; and pioneering work on the application of deep learning techniques to scientific computing. In addition, he has worked on multiscale modeling and the study of rare events.
Gui-Qiang George Chen is a Chinese-born American-British mathematician. Currently, he is Statutory Professor in the Analysis of Partial Differential Equations, Director of the Oxford Centre for Nonlinear Partial Differential Equations, and Director of the EPSRC Centre for Doctoral Training in Partial Differential Equations at the Mathematical Institute, and Professorial Fellow at Keble College, located at the University of Oxford, as well as Life Member of Clare Hall, University of Cambridge.
Jesús María Sanz-Serna is a mathematician who specializes in applied mathematics. Sanz-Serna pioneered the field of geometric integration and wrote the first book on this subject. From 1998 to 2006, he was rector of the University of Valladolid.
Eric Vanden-Eijnden is a professor of mathematics at the Courant Institute of Mathematical Sciences, New York University. Vanden-Eijnden earned his doctorate in 1997 from the Université libre de Bruxelles under the supervision of Radu Bălescu. In 2009 he was awarded the Germund Dahlquist Prize of the Society for Industrial and Applied Mathematics "for his work in developing mathematical tools and numerical methods for the analysis of dynamical systems that are both stochastic and multiscale", and in 2011 he won SIAM's J.D. Crawford Prize for outstanding research in nonlinear science.
José Antonio Carrillo de la Plata is a Spanish mathematician primarily known for his contributions in applied partial differential equations, numerical analysis, many particle systems and kinetic theory. His works make use of methods from functional analysis, calculus of variations, optimal transport, gradient descent and entropy methods. Currently he is Professor of Nonlinear Partial Differential Equations at the Mathematical Institute of the University of Oxford where he started in April 2020. He is also Tutorial Fellow at The Queen's College Oxford in Applied Mathematics. He was previously Chair in Applied and Numerical Analysis at the Department of Mathematics, Imperial College London, United Kingdom, a position he held from October 2012 till March 2020. He served as Chair of the Applied Mathematics Committee of the European Mathematical Society during the period 2014–2017. He was formerly ICREA Research Professor at the Universitat Autònoma de Barcelona, Spain, during the period 2003–2012, and held positions at the University of Granada, Spain, and the University of Texas at Austin, United States during the years 1992–2003. He was recognized with the SeMA prize (2003) and the GAMM Richard Von-Mises prize (2006) for young researchers. He was a holder of the Royal Society Wolfson Fellowship during the period 2012–2017.
Robert Iain McLachlan is a New Zealand mathematician and Distinguished Professor in the School of Fundamental Sciences, Massey University, New Zealand. His research in geometric integration encompasses both pure and applied mathematics, modelling the structure of systems such as liquids, climate cycles, and quantum mechanics. He also writes for the public on the subject of climate change policy.
Assyr Abdulle was a Swiss mathematician. He specialized in numerical mathematics.
Houman Owhadi is a professor of Applied and Computational Mathematics and Control and Dynamical Systems in the Computing and Mathematical Sciences department at the California Institute of Technology. He is known for his work in statistical numerical approximation, kernel learning, and uncertainty quantification.
Yingda Cheng is a Chinese-American applied mathematician specializing in scientific computation and numerical analysis, including Galerkin methods for the computational solution of differential equations and the simulation of nonlinear optics and plasma physics. She is a professor of mathematics at Virginia Tech.
