SETSAC Warwick University
 Colm Connaughton
Use of SPDEs to study the statistical properties of interacting particle systems and related coalescence/growth processes which are popular testinggrounds for theories of nonequlibrium statistical mechanics. Physical implications of the socalled nonequilibrium fluctuation theorems like the GallavottiCohen theorem, Jarzinski Inequality and related results.

K D Elworthy
Geometric stochastic analysis, Infinite dimensional stochastic analysis, especially geometric analysis on path spaces of Riemannian and more general manifolds, and thier interactions with SPDE theory.
PhD Students:
Patrick O'Callaghan
Yuxin Yang
Ergodic properties of stochastic PDE’s, especially fluid flow equations and equations drivin by nonmarkovian noises such as fractional Brownian Motions. Also joint work with Andrew Stuart et al.
PhD Students:
Charles Manson
Pavel Bubak
Probability Theory; Stochastic Analysis including:
Stochastic Differential Equations and Dynamical Systems, Analysis on Infinite Dimensional Spaces, Malliavin Calculus; Properties of Stochastic Processes; Geometric Properties of Stochastic Flows.
Probability theory, especially stochastic processes related to random matrices, combinatorics, reflection groups and representation theory.

James Robinson
Stochastic and ordinary partial differential equations as random dynamical systems especially fluid flow equations
PhD students:
Masoumeh Dashti
Eleonora Pinto de Moura
Sampling Function Space Using SPDEs
Many problems arising in applications can be formulated, using Bayesian statistics, in terms of a probability distribution on function space. Sampling such measures effectively is thus of some practical importance. SPDEs provide a unifying concept around which a number of sampling methods can be motivated or analyzed. This group is pursuing such ideas, especially in the context of MCMC methods. It includes Martin Hairer and Andrew Stuart with:
Postdoctoral Research Assistants: Alex Beskos, Jochen Voss
PhD Students
Simon Cotter
David White

R Tribe
Stochastic travelling waves. Coalescing particles, especially large time behaviour for spatial coalescing systems and nonmean field behaviour. Joint work with Oleg Zaboronski.
PhD Students:
Tim Hobson
Stochastic travelling waves
Nick Woodward
Stochastic travelling waves

Oleg Zaboronski
Large time behaviour for spatial coalescing systems, and their nonmean field behaviour; use of group renormalisation methods and spde.
Statistics Department:
 Sigurd Assing
Investigation of scaling limits of fluctuation fields of interacting particle systems and related SPDEs.
PhD Students:
James Bichard
Space evolution of solutions of SPDEs