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Academic Staff

Dr Anastasia Borovykh

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Dr Anastasia Borovykh Lecturer
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Research interests

Computational models to understand and improve information processing in artificial and biological intelligent systems using tools from stochastic processes, statistical mechanics and mathematical modeling.
Dr Nicolas Boulle

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Dr Nicolas Boulle Lecturer in Applied Mathematics
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Research interests

Intersection between numerical analysis and deep learning. Primarily focus on the mathematical foundations of deep learning to discover mathematical models (partial differential equations) from data, and the development of novel and theoretically justified numerical techniques.
Prof Michele Coti Zelati

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Prof Michele Coti Zelati Royal Society University Research Fellow (Professor)
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Research interests

Analysis of PDEs, fluid mechanics, infinite-dimensional dynamical systems, stochastic perturbations, turbulence theory.
Prof Colin Cotter

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Prof Colin Cotter Professor of Computational Mathematics
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Research interests

Numerical analysis and scientific computing: numerical methods for climate, weather prediction and ocean modelling, finite element methods especially compatible finite element methods, geometric integration, diffeomorphic and metamorphic image registration, data assimilation.
Prof Pierre Germain

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Prof Pierre Germain Chair in Analysis and Partial Differential Equations
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Research interests

Analysis of nonlinear partial differential equations, in particular fluid mechanics and nonlinear waves. Fourier analysis and its applications to partial differential equations.
Dr Dante Kalise

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Dr Dante Kalise Senior Lecturer in Computational Optimisation and Control
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Research interests

Scientific computation methods for optimization and control, nonlinear PDEs, high-dimensional approximation and agent-based models across scales.
Dr Sheehan Olver

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Dr Sheehan Olver Reader in AMMP
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Research interests

Numerical analysis, spectral methods, partial differential equations, orthogonal polynomials, Riemann–Hilbert problems, random matrix theory, integrable systems.
Prof Greg Pavliotis

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Prof Greg Pavliotis Professor of Applied Mathematics
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Research interests

Homogenization theory; Inertial particles; Stochastic differential equations.
Dr Felipe Tobar

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Dr Felipe Tobar IX Senior Lecturer in Machine Learning
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Research interests

Statistical machine learning, probabilistic generative models, optimal transport, Bayesian inference, signal processing, diffusion models and Gaussian processes. Applications on audio analysis, climate, astronomy, health and mining.