FP7, Marie Curie Actions, People, International Research Staff Exchange Scheme (IRSES)

INTI: International Network in Theoretical Immunology

Non-EU Partner organisations:

WEHI Melbourne (Australia)
University of British Columbia (Canada)
Indian Institute of Science Bangalore (India)
University of Auckland (New Zealand)
Los Alamos National Laboratory (USA)
Wake Forest University (USA)

Permanent Lecturer in Applied Mathematics EPSRC AstraZeneca Scholarship

Programs, conferences and workshops

Related meetings 2012-3

Computational Immunology
WEHI Melbourne, 11-13 Apr 2012
Multi-scale physics of lymphocyte development
Max Plank Institute for the Physics of Complex Systems, Dresden, Germany. 5-31 Aug 2012
Systems biology of T cells
Baeza, Spain. 21-24 Oct 2012
Quantitative Immunology
Santa Barbara, CA. 26 Nov - 20 Dec 2012
British Applied Mathematics Colloquium. Leeds, 9-12 Apr 2013.

Some INTI and INTI-related meetings 2009-2012

Systems approaches in immunology
Santa Fe, NM. 6-7 Jan
Mathematical modelling session at the BSI congress
Liverpool, 6 Dec 2011
Theoretical and Experimental Immunology IISc Bangalore, 16 August 2011
more photos
Imaging, Interpretation and Modeling in Modern Immunology Banff, 10-15 April 2011
Physics of Immunity: Complexity Approach 4-8 April 2011, Max-Planck-Institut Dresden
Experimental and theoretical immunology 18 March 2011, University of Leeds
Network workshop, Los Alamos. 5-6 August 2010.

IRSES is an international research network in theoretical immunology that involves experimental and theoretical immunologists.

One of the great challenges of Theoretical Immunology is to tie together events within hosts with events at the level of a community of hosts, that is, to make models that combine theoretical immunology with the epidemiological implications of within-host events. The pursuit of these new insights will generate non-standard mathematical questions. Two have already become apparent:

models need to capture events within individual hosts and interactions between hosts. Ordinary differential equations can only achieve this in a crude way that fails to capture much of the relevant, observed biological dynamics.
models for processes unfolding at several levels of organisation are needed in other areas of theoretical immunology: the interaction between within-cell molecular dynamics and cell-to-cell events is one obvious application.

The objectives of the network are

Establish research collaborations between the experimental and theoretical immunologists of the network to provide immunology with a more quantitative basis.
Establish research collaborations between the different theoretical immunology groups to discuss, compare, test and validate different modelling approaches.
Train the new generation of (experimental and theoretical) immunologists, with the aim to exchange postgraduate students and research fellows, so that they benefit from the broader knowledge, skills and tools provided by the Network.

A goal of the Network is to develop, by means of the Staff Exchange Scheme, four long-term directions for modelling in immunology. In particular,

To develop stochastic models for the motion of pathogens and of cells of the immune system.
To develop mathematical and computational models to help us understand how the immune system maintains its diversity of millions of lymphocyte populations.
To develop stochastic models of T cell and B cell maturation.
To develop models of autoimmunity.

Grant Lythe Last revised: