Workshops
Stochastic, statistical and computational approaches to immunology
Organized by Arup Chakraborty (Massachusetts Institute of Technology), Daniel Coombs (University of British Columbia), Ken Duffy (National University of Ireland, Maynooth), Carmen Molina-Paris (University of Leeds)
http://www.icms.org.uk/workshops/immunology07/22/2013 - 07/26/2013
International Centre for Mathematical Sciences, ICMS, 15 South College Street, Edinburgh, EH8 9AA, UK
The primary objective of this workshop is to continue the current effort in mathematical immunology that has been initiated by a series of international meetings.
The second objective of the workshop is to enhance and train the strong mathematical immunology community emerging in the UK, with particular emphasis on young scientists in the field. The workshop will bring state-of-the-art knowledge to the UK community, improve communication between the two main groups involved (immunologists and modellers=mathematicians, statisticians and computer scientists), disseminate new results and encourage novel approaches/methodologies to existing open problems.
The workshop will consist of both invited and contributed talks, introductory lectures and problem-posing talks. The workshop will focus on stochastic, statistical and computational approaches to immunology and will include the following topics: stochastic processes in immunology,statistical analysis of censored data, challenges for multi-scale modelling, T cell receptor diversity, and T cell immunology and modelling in the thymus and in the periphery.
Invited Speakers include:
- Arup Chakraborty, MIT (USA)
- Daniel Coombs, University of British Columbia (Canada)
- Ken Duffy, Hamilton Institute (Ireland)
- Joost Beltman, NKI (Netherlands)
- Miles Davenport, University of New South Wales (Australia)
- Brian Evavold, Emory University (USA)
- Simeone Marino, University of Michigan (USA)
- Douglas Lauffenburger, MIT (USA)
- Roland Regoes ETHZ (Switzerland)
- Leila Perié, NKI (Netherlands)
- Cheng Zhu, Georgia Tech (USA)
- Andrew Yates, Albert Einstein University (USA)
- Grant Lythe, University of Leeds (UK)
- Carmen Molina-Paris, University of Leeds (UK)
- Rajat Varma, NIH (USA)