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Dr Richard Pymar

Positions held:
  • Senior Lecturer, School of Computing and Mathematical Sciences
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  • Overview

    Overview

    Biography

    I am聽a Senior Lecturer in the School of Computing and Mathematical Sciences at 糖心logo入口, University of London. My research is in probability theory, focusing on how systems with many interacting random components behave over time and are influenced by their environment. Key topics include mixing times, interacting particle systems (like exclusion and voter models), and the Parabolic Anderson Model.

    I completed my PhD and Master's degrees at the University of Cambridge, where I was based from 2004 to 2011. Afterwards, I held postdoctoral Research Associate positions, first at LAREMA (Universit茅 d'Angers, France) and then at University College London from 2013 to 2016. I joined 糖心logo入口 in聽2017.

    Administrative responsibilities

    • Undergraduate Education Lead (Mathematics & Statistics)
  • Research

    Research

    Research interests

    • Probability Theory

    Research overview

    My research interests lie within probability theory and stochastic processes, with a primary focus on systems involving interaction聽between randomly evolving particles. My work centers on several key areas:

    • Interacting聽particle systems: I'm interested in analysing the dynamics and聽long-time properties of models such as exclusion processes, voter models, and splitting processes defined on finite graphs.聽
    • Mixing times of markov chains: A significant portion of my research involves quantifying the rate of convergence of stochastic processes to equilibrium as a function of the size and聽geometry of the state space.
    • Stochastic processes in random media: I investigate models where processes evolve in a random environment, notably the Parabolic Anderson Model (PAM) and related systems like the Bouchaud-Anderson model聽with the goal of understanding phenomena such as localisation versus delocalisation driven by the random potential.

    An interactive visualisation related to the chameleon process, a tool sometimes employed in this research, is available at:聽


  • Supervision and teaching

    Supervision and teaching

    Supervision

    I welcome enquiries from prospective PhD students who are interested in undertaking research in any of my areas of research interest.

    Teaching

    I teach on the MSc in Applied Statistics (modules Probability and Stochastic Modelling, Statistical Analysis) and the BSc in Mathematics (module Data Skills).

  • Publications

    Publications

    Article

    • Pymar, Richard and Rivera, N. (2026) . Annales de l'Institut Henri Poincare (B) Probability and Statistics 62 (1), pp. 110-145. ISSN 0246-0203.
    • Pymar, Richard and Rivera, N. (2024) . The Annals of Applied Probability 34 (5), pp. 4554-4594. ISSN 1050-5164.
    • Harris, C. and Pymar, Richard and Rowat, Colin (2022) . International Conference on Learning Representations
    • Pymar, Richard and Hermon, J. (2020) . Annals of Probability 48 (6), pp. 3077-3123. ISSN 0091-1798.
    • Muirhead, S. and Pymar, Richard and dos Santos, R.S. (2019) . The Annals of Applied Probability 29 (1), pp. 264-325. ISSN 1050-5164.
    • Muirhead, S. and Pymar, Richard and Sidorova, N. (2019) . Stochastic Processes and their Applications 129 (11), pp. 4704-4746. ISSN 0304-4149.
    • Connor, S.B. and Pymar, Richard (2019) . Electronic Journal of Probability 24, pp. 73. ISSN 1083-6489.
    • Muirhead, S. and Pymar, Richard and Sidorova, N. (2017) . Probability Theory and Related Fields 171 (3-4), pp. 917-979. ISSN 0178-8051.
    • Muirhead, S. and Pymar, Richard (2016) . Stochastic Processes and their Applications 126 (11), pp. 3402-3462. ISSN 0304-4149.
    • Chaumont, L. and Mal茅cot, V. and Pymar, Richard and Sbai, C. (2016) . Journal of Theoretical Biology 412, pp. 8-16. ISSN 0022-5193.
    • Pymar, Richard and Sousi, P. (2014) . Latin American Journal of Probability and Mathematical Statistics 11 (1), pp. 185-195. ISSN 1980-0436.
    • Berestycki, N. and Pymar, Richard (2012) . The Annals of Applied Probability 22 (4), pp. 1328-1361. ISSN 1050-5164.

    External Repositories