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Developing efficient methodologies for modelling stochastic dynamical syste...
Mon 10 April 2017, 09:30 – 16:30 BST
Developing efficient methodologies for modelling stochastic dynamical systems in biology
Join us for an interdisciplinary one-day conference which brings together leading mathematicians, biologists and other scientists in the field of stochastic methodological development.
The conference will present recent work on the:
- analysis of stochastic dynamical systems;
- development of efficient computational methods for simulating stochastic models over various scales;
- identification of new research areas.
Our high profile speakers will share novel methods and analysis, as well as efficient algorithms for simulations, in order to bridge the wide range of scales over which biological systems operate.
Tools which facilitate the development of the required multi-scale methodologies, such as complete or approximate analytical solutions, efficient simulation algorithms and hybrid numerical simulation methodologies, will also be discussed.
The three interrelated focus areas of the conference are:
- Analysis, computation and development of non-spatial (well-mixed) models;
- Analysis, computation and development of spatio-temporal reaction-diffusion models, including both off-lattice (Brownian dynamics) and on-lattice methodologies (reaction-diffusion master equation);
- Multiscale and hybrid methods.
Throughout the conference, there will be ample networking opportunities aimed at fostering deeper collaboration between leading UK scientists in the field of stochastic biological modelling.
09:30 Registration and coffee
10:00 Dr Christian Yates – Department of Mathematical Sciences, University of Bath
10:50 Dr Konstantinos Zygalakis – School of Mathematics, University of Edinburgh
11:20 Coffee break
11:45 Dr Ramon Grima – School of Biological Sciences, University of Edinburgh
13:30 Dr Louise Dyson - Mathematics Institute and the School of Life Sciences, University of Warwick
14:00 Professor Radek Erban - Mathematical Institute, University of Oxford
14:30 Coffee and Posters
15:30 Professor Ruth Baker - Mathematical Institute, University of Oxford
16:15 Closing address
16:20 - 18:00 Posters and networking event (with wine and nibbles).
Funding to support travel and accommodation
There is a small amount of funding to support travel and accommodation (if appropriate) for early career researchers travelling from within the UK.
Please indicate whether you would like to apply for travel and accommodation support when you register for the conference.
The deadline for requesting support is 30 January 2017 and the deadline for registration is 27 February 2017.
Dr Christian Yates – Department of Mathematical Sciences, University of Bath, UK
For further information about the conference, contact Institute for Mathematical Innovation at email@example.com
The conference is supported by an LMS “Celebrating New Appointments” conference grant, the Bath Institute for Mathematical Innovation, and the Department of Mathematical Sciences of the University of Bath.
Registration fee per person: £10.00
The deadline for registering your interest in participating in the conference is: Monday 27 February 2017