Staff
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Tatiana BubbaTomographic inverse problems, Sparse regularisation and optimisation, Deep learning in imaging
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Chris BuddGeometric integration, moving meshes, data assimilation
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Sergey DolgovNumerical linear algebra, tensor decompositions, uncertainty quantification
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Matthias EhrhardtImaging, machine learning, optimisation
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James Fosterstochastic differential equations, machine learning, rough analysis
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Silvia GazzolaRegularization of inverse problems, imaging problems, numerical linear algebra
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Yury KorolevInverse problems and imaging, Machine learning in infinite dimensions, Non-smooth variational problems.
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Lisa KreusserDynamical systems, deep learning, differential equations
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Eike MuellerNumerical weather prediction, atmospheric modelling, scientific computing
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Clarice PoonCompressed sensing, structured regularisation, super resolution, optimisation
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Tristan PryerHigh-performance computing, adaptivity
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Tony ShardlowStochastic differential equation, shape modelling, machine learning
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Pranav SinghGeometric integration
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Euan SpencePDEs, high frequency scattering
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Luca ZanettiAlgorithms for networks, clustering, spectral graph theory
Emeritus and visiting staff
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Ivan GrahamNumerical computation of waves and applications, domain decomposition, and uncertainty quantification
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Adrian HillGeometric integration
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Alastair SpenceNumerical Linear Algebra