BBSRC MATSYB network  I2M: Immunology, Imaging and Modelling

Theoretical immunology

University of Leeds, 16 May 2011

Registration: free
To register, please email i2m



  • 09:30
    Alan Melcher

    Immunogenic oncolytic viruses for the treatment of cancer

  • 10:30
    Vas Ponnambalam

    A multidisciplinary approach towards understanding receptor-ligand interactions in human health and disease

  • 11:30-12:00 coffee
  • 12:00
    Alexander Scheffold

    Antigen specific Cytometry: from research to clinical application

  • 13:00-14:00 lunch provided
  • 14:00
    Rhodri Ceredig

    Interleukin-7, an elixir of mouse lymphocytes; but how does it work?

  • 15:00
  • Eric Van Doorn (University of Twente)

    Quasi-stationary distributions

    In many application areas requiring stochastic modelling techniques one encounters systems that in some sense terminate, but long before termination seem to settle down to a stationary regime. In such systems the time-scale for the time to termination is substantially larger than that for the approach to ``quasi'' equilibrium. Therefore this ``quasi'' equilibrium is usually described by the limit as time goes to infinity (in an appropriate stochastic model) of the distribution of the state of the system conditional on non-termination. Since Markov chains constitute the predominant tool for modelling stochastic systems of this type, one would like to be able to establish for an arbitrary Markov chain, given the basic parameters of the chain, whether such a limiting conditional distribution -- or quasi-stationary distribution -- exists, and, if it exists, what it looks like. In the talk some aspects of these problems will be discussed.

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