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QuanTI Partners

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Marie Curie ESR (PhD) at UMCU
Marie Curie ER at BAYER Computational Systems Biology

Network overview

network

The primary objective of QuanTI Network is to train a new generation of European quantitative immunologists, who will be able to address challenges arising in Systems Immunology. This will be achieved with the proposed Network, Quantitative T cell Immunology (QuanTI), that will train 11 ESRs and 4 ERs, bringing together renowned experimental and theoretical scientists from private and academic institutions. Health and disease are regulated, to a large extent, by our immune system. A quantitative approach to Immunology must not only integrate a wide range of biological data but also increase our understanding of immunological processes at all levels of organisation. This will be achieved by exploiting state-of-the-art knowledge and technology of the academic and industrial partners.
The scientific programme of the proposed Network consists of 6 research Work Packages (WP) and focuses on one of the current challenges in Systems Immunology: the dynamics of T cells in the periphery. Specifically the Network aims to provide a coherent multi-scale framework to: (i) the establishment and diversity of the T cell pool in the periphery, and (ii) the differentiation programme of T cell populations during adaptive immune responses. Synthesising models and immunological data poses a challenge that cannot be successfully managed by immunologists, mathematicians, computer scientists or physicists on their own. QuanTI will provide an excellent multi-disciplinary and inter-sectorial research environment to train a new generation of quantitative immunologists. The propose ITN will strongly advance the development of new quantitative concepts to characterise, and therapeutically modify, immune responses. In a wider context, QuanTI provides a model for a new, hands-on inter-disciplinary and inter-sectorial training programme in biomedical sciences that will catalyse the progress from a qualitative, molecule-oriented approach to a quantitative, systems-level research strategy.


Recent network events


'QuanTI' Annual meeting NUI Galway, 25 June, 2014

The 'QuanTI' Annual Network meeting was hosted by NUI, Galway and was held on 25th June, 2014.

The work programme of the meeting included talk sessions complemented by questions and discussion. The focus was on network research where researchers from different partner institutions presented their on-going research.

Venue: Venue:Áras de Brún, Room ADB1019

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'QuanTI' fellows' meeting

QFM QuanTI fellows' meeting was held on 5th March, 2014, at the University of Leeds, UK

The meeting was informal and aimed to bring together all the Marie Curie researchers from QuanTI network.

Venue University of Leeds Fairbairn House Main Building Upper Chapel LR (1.04a)

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Inaugural meeting, 29-30 August, 2013

QuanTI group photo

QuanTI inaugural meeting was held at the National University of Ireland, Maynooth on 29 and 30 August 2013.

Speakers: Bernard Mahon, Paul Moynagh, Philip Hodgkin, Aridaman Pandit, Shalin Naik, Walt Mankowski, José Borghans, Ton Schumacher, Thomas Eissing, Becca Asquith, Grant Lythe, Michael Davies, Ines Amado, Cathal Seoighe, Ken Duffy

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training events


Summer School in Quantitative Immunology hosted by National University of Ireland Galway 23-24 June, 2014

Hosted byorganizing partner

This Summer school was a part of the Marie Curie Initial Training Network ‘QuanTI’ training programme. This two-day workshop included lectures from leading experimental, mathematical
and computational immunologists as well as practical sessions on the analysis of T cell receptor diversity from high throughput sequencing data and analysis of stochastic cell fate models
Programme is available here

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Complementary skills training workshop hosted by University of Leeds,
23- 25 September, 2014

Hosted by

This three-day workshop will be organised and hosted by Leeds. The workshop will be devoted to advanced hands-on courses on different key scientific and computational aspects of the ITN research programme, such as courses on Matlab, Java, Python and R. It will include also sessions on presentation skills and outreach activities skills.

Programme will be available soon

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School on molecular networks in innate and adaptive immunology (DKFZ Heidelberg) 14 -15 January, 2015

Hosted by

 

This school will be organised and hosted by DKFZ Heidelberg. The special focus of this training event will be on the mathematical modelling of molecular regulatory networks in immune cells and bridging the scales from molecular regulation to lymphocyte population dynamics. The school will feature lectures, tutorials and handon computational sessions.

Programme will be available soon

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Upcoming events

Complementary skills training workshop
hosted by University of Leeds,

23 - 25 September, 2014,
Leeds, UK

Venue: Charles Thackrah Building 1.01

Workshop programme


Mid-term review meeting,

DKFZ (German Cancer Research Centre), Heidelberg, Germany

13 January, 2015

Preliminary programme

 

news

Related Programs, conferences and workshops 2014

British Society for Immunology Affinity Group in Mathematical Immunology

Registration now open see flyer

Microsoft Research Cambridge, 19-20 May 2014

British Society for Immunology Affinity Group in Mathematical Immunology will have their meeting on 19-20, May 2014 in Cambridge and will be hosted by Microsoft Research Cambridge

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Lymphocyte signaling Bertinoro, Italy,
17-21 May 2014


Host-pathogen Interaction Hyderabad, 12-15 July 2014
Recent events

Quantitative immunology
Les Houches, France,

March 9-14, 2013

This workshop aims to bring together researchers that develop new experimental tools, both experimentally and theoretically, along with established immunologists that are open to a quantitative perspective. We believe that this will lead to new directions in the understanding the immune system.

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Participation of 'QuanTI' fellows at the workshop


Systems Approaches in Immunology
Santa Fe, NM. 10-11 Jan, 2014

 

 

 

 

Associated partners
Universidad de Vigo

QuanTI Network, 2013| School of Maths | University of Leeds, UK|Email: quanti@maths.leeds.ac.uk|Copyright | Privacy statement |

Last update:18-Aug-2014