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Professor of Computational Mathematics in the Department of Mathematics at Imperial College London since July 2019, Colin Cotter specializes in numerical analysis and scientific computing. His research is centered on the design, analysis, and implementation of numerical methods for weather forecasting, ocean modeling, and climate simulation. He is involved in developing compatible finite element methods and time-parallel algorithms for various applications, motivated by the geometric variational structure of fluid equations. Additionally, he explores geometric structures related to shapes and images and works on developing numerical algorithms for probabilistic forecasting and data assimilation, with a current focus on particle filters for stochastic partial differential equations. Cotter has served as the Head of the Applied Mathematics and Mathematical Physics Section and is an Associate Editor for the SIAM Journal on Scientific Computing. He is a member of the EPSRC peer review college and is an author of a book titled 'Probabilistic Forecasting Bayesian Data Assimilation'.
Specialisms available in Materials for the Energy Transition or Theory and Simulation of Materials.