Academic Staff

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Dr Anastasia Borovykh

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Honorary 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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Assistant Professor 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 Colin Cotter

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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 David Ham

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Professor of Computational Mathematics
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Research interests

Prof. Ham's research interests centre on the development and composition of high level abstractions for scientific computation, particularly geophysical fluids. His interests span computational and computer science and include both new numerical schemes and novel approaches to their implementation.
Dr Dante Kalise

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Associate Professor 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 Eric Keaveny

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Associate Professor in Applied Mathematics
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Research interests

Microorganism locomotion and cellular mechanics, Suspensions of interacting and active particles, Mechanics of soft materials and complex fluids, Low Reynolds number hydrodynamics, Numerical methods and computational mathematics
Dr Sheehan Olver

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Associate Professor 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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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 Associate Professor 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.