**The InFoMM Academic Team is made up of Faculty and Researchers of the Mathematical Institute who can supervise, or have supervised, InFoMM research and mini-projects. You can find out some of their research areas below, but for more information please click on their name:**

**Ruth Baker**: Computational models, stochastic modelling of reaction-diffusion processes, testing of cell biology models using Bayesian and quantitative approaches

**Mariano Beguerisse:** Networks and complex systems, data science, mathematical biology, mathematical modelling

**Christian Bick:** Dynamics of networked systems, localized oscillations, asynchronous and nonsmooth networks, electrochemical systems, organizational complexity

**Chris Breward: **Fluid mechanics, surfactants, modelling biological and industrial systems

**Maria Bruna:** Stochastic modelling of interacting particle systems, stochastic simulation algorithms, modelling of biological and ecological systems

**Helen Byrne:** Mathematical and computational models of biomedical systems, with application to tumours, wound healing, and tissue engineering

**Coralia Cartis:** Algorithms for diverse classes of optimisation problems, inverse problems data assimilation, compressed sensing

**Jon Chapman:** Modelling, asymptotics, and differential equations for fluid and solid mechanics

**Radu Cimpeanu: **Fluid dynamics, interfacial flows, electrohydrodynamics, drop impact, computational acoustics, operational research

**Samuel Cohen:** Mathematical and probabilistic modelling, risk management, stochastic optimal control, Game theory, statistical estimation and uncertainty, Machine learning

**Vasillios Dallas: **Fluid mechanics, magnetohydrodynamics, turbulence, numerical simulations and modelling

**Paul Dellar: ** Lattice Boltzmann, magneto hydrodynamics, scientific computing, kinetic theory

**Jeff Dewynne: **Free boundary problems, financial derivatives

**Radek Erban: ** Molecular dynamics, swarm robotics, biophysics, collective behaviour, numerical methods, stochastic processes

**Chris Farmer:** Inverse problems and uncertainty, wave propagation, flow through porous media

**Patrick Farrell:** Fast solvers for PDEs, PDE-constrained optimisation, bifurcation analysis

**Jaroslav Fowkes:** Revenue management, Bayesian optimization, surrogate global optimization, statistical pattern mining

**Andrew Fowler: **Environmental, geophysical and medical problems, dynamical systems

**Eamonn Gaffney: **Modelling for Pharma, mathematical and computational biology, physiological and cellular fluid dynamics.

**Mike Giles:** Stochastic models, methods and numerical analysis, HPC

**Kathryn Gillow: ** Numerical methods for biological and electrochemical problems, inverse problems

**Alain Goriely: **Solid mechanics, morphogenesis, growth, dynamical systems

**Ian Griffiths:** Viscous flows, particle-laden flows, surfactant systems

**Pete Grindrod:** Evolving networks, data analytics, smart meters, complex systems

**Stephen Haben:** Forecasting, clustering methods, statistical inference, data assimilation, human behaviour, Bayesian statistics, linear algebra, optimization algorithms

**Abdul-Lateef Haji-Ali: **Uncertainty Quantification, Stochastic Differential Equation, Numerical methods for SDEs and PDEs, Multilevel Monte Carlo, Particle systems, Crowd modelling

**Ben Hambly: **Probability, stochastic processes, fractals, mathematical finance

**Heather Harrington : **Algebraic systems biology, topological data analysis, complexity science

**Raphael Hauser: ** Convex optimisation, probabilistic analysis of algorithms, mathematical finance

**Ian Hewitt: ** Modelling, continuum mechanics, porous media flows, geoscience

**Peter Howell: **Modelling, asymptotics and differential equations for fluid and solid mechanics

**David Howey: ** Electrical engineering and modelling of energy storage systems

**Sam Howison:** Mathematical finance, fluid mechanics, superconductivity, industrial problems

**Yakov Kremnitzer : **Geometric representation theory, symmetries formalized by algebraic structures, Quantum Mechanics, and applications of Integrated Information Theory

**Renaud Lambiotte:** Complex systems, dynamics on networks, temporal networks, modelling large network processes, social and brain networks

**Per-Gunnar Martinsson:** Matrix computations, large scale problems, algorithms designed for GPU , data mining, fast solvers for elliptic PDEs, boundary integral equations, CFD

**Andrew Mellor: **Temporal networks, social networks, complexity science, visualising networks and dynamics on networks

**Sourav Mondal:** Transport phenomena, flow through porous media, CFD simulations of mass transport, molecular simulation of self-assembled systems, microfluidic transport

**Charles Monroe:** Discovery, design, characterisation, and modelling of electrochemical energy storage systems

**Irene Moroz: ** Geophysical fluids, wavelets, dynamical systems, time series, data assimilation, plankton modelling

**Derek Moulton:** Biomechanics, continuum modelling, growth, elasticity

**Andreas Muench: ** Nano and microfluidics, capillary interfaces, asymptotics, scientific computing, suspensions, phase field models

**Harald Oberhauser: ** Modelling systems that evolve under the influence of randomness, machine learning and stochastic analysis, time series, text, streams etc

**Hilary Ockendon:** Fluid and solid mechanics, continuum models of industrial processes especially textiles.

**John Ockendon:** Differential equations, asymptotics, applications

**Neave O'Clery: ** Graph theory/network structure and dynamics, network models and data science for government, urban systems, economic diversification and knowledge flow

**Doireann O'Kiely: ** Free boundary problems, viscous flow, asymptotic methods, buckling and wrinkling phenomena, elasticity and capillarity

**Jim Oliver**: Free boundary problems in fluid dynamics, splashing and jet impact, biomechanics

**Colin Please:** Fluid mechanics, electrochemistry, continuum models

**Christoph Reisinger: ** Numerical analysis of PDEs and SPDEs, Bayesian parameter estimation, computational finance, stochastic control

**Oliver Riordan: ** Random graphs, phase transitions, percolation in random environments

**Ricardo Ruiz Baier: ** Biomechanics, multiphase flow in porous media, sedimentation-consolidation phenomena, mixed finite element methods

**Alex Scott: ** Combinatorics, probability, algorithms

**Endre Suli:** Numerical analysis of nonlinear PDEs especially in fluid and solid mechanics

**Jared Tanner: ** Mathematics of information, compressed sensing, matrix completion, topological data analysis, inverse problems, and data analysis generally

**Andrew Thompson:** Compressive signal processing, sparse inverse problems and high-dimensional data analysis

**Ulrike Tillmann: ** Algebraic Topology and its applications, recent interest includes applications of topology to data analysis

**Nick Trefethen: **Numerical linear algebra, approximation theory including Chebfun and spectral methods

**Philippe Trinh:** Classical hydrodynamics, low Reynolds number flows, elasticity and solid mechanics

**Ben Turney: ** Academic consultant urological surgeon: specialising in aetiology, treatment and prevention of kidney stones

**Robert Van Gorder: ** Approximation methods, PDEs, dynamical systems, fluid dynamics, nonlinear waves

**Dominic Vella: ** Surface tension, thin elastic objects, flow in porous media

**Sarah Waters: ** Mathematical medicine and biology, biofluids biomechanics, tissue engineering

**Andy Wathen**: Numerical linear algebra, preconditioners, PDE constrained optimisation

**Jonathan Whiteley: **Mathematical modelling and scientific computing related to multiscale, multiphysics problems arising in physiology and biology

(Updated October 2017)