Data Science and Dynamics Research Group

We focus on the analysis of real-world dynamical systems that generate large data sets. A broad range of mathematical techniques are applied to identify system characteristics, and to make predictions using data and mathematical models.

Overview

Our group covers a wide range of research topics that are concerned with dynamical systems — deterministic or stochastic — that typically involve substantial data. These include, in particular, certain areas of mathematical biology including sleep and circadian rhythms, molecular dynamics, analysis in meteorology and climate sciences, mathematical criminology, machine learning, and more generally analysis of information-driven systems such as financial markets, electoral competitions, or internet communities.

A range of mathematical techniques from ordinary differential equations, partial differential equations, stochastic differential equations, information theory, probability, and statistics are applied to investigate behaviours of real-world dynamical systems.

    Our people

    Academic staff

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    Professor Dorje Brody

    Professor in Mathematics

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    Dr Audrey Kueh

    Teaching Fellow

    David Lloyd profile image

    Professor David Lloyd

    Professor in Mathematics

    Naratip Santitissadeekorn profile image

    Dr Naratip Santitissadeekorn

    Senior Lecturer in Data Assimilation

    Postgraduate research students

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    Steve Falconer

    Postgraduate Research Student

    Elaheh Kalantari profile image

    Elaheh Kalantari

    Postgraduate Research Student

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    Jane Lyle

    Postgraduate Research Student

    Contact us

    Find us

    Address

    Department of Mathematics
    Thomas Telford building (AA), floor 4
    University of Surrey
    Guildford
    Surrey
    GU2 7XH