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|2007 -||RCUK Fellow in Biological Complexity||Department of Biology, University of York|
|2005 - 2007||Postdoctoral Research Assistant||Edinburgh|
|2004||Postdoctoral Research Assistant||Oxford|
|2002 - 2004||Royal Commission for Exhibition of 1851 Research Fellow||Oxford|
|2002||PhD and DIC||Imperial College, London|
|2000||MA||University of Cambridge|
|1998||Part III Mathematics||University of Cambridge|
|1997||BA Mathematics||University of Cambridge|
My current research interests are in the field of complexity and emergent phenomena in biologically inspired models. This is primarily focused on understanding how we may use both computational and analytic techniques in statistical mechanics to further our knowledge of the stability and robustness of natural systems. This is a broad area, and my current work includes: extending models based on James Lovelock's Daisyworld parable including looking for links to established theories in quantitative genetics; investigating flocking or herding behaviour in animals, and how these systems can be related to models of network rewiring; developing primitive models of quorum sensing in bacteria, especially understanding spatial effects and how this may lead to biofilm formation.
My other interests are in the field of wetting and interfacial phenomena. In particular the fluctuation behaviour of interfaces and the effect of confining substrate walls and other alternate geometries. I have approached these problems both through exact results in the context of the two-dimensional Ising model, and also by effective Hamiltonian theories.
|Postdoctoral Research Associate||Andrew Dean||NERC: Evolutionary drivers...|
|PhD Student||Kazuki Iizuka||Self funded|
|PhD Student||Daniel Upton||BBSRC DTP|
|PhD Student||Michael Bottery||CIDCATS|
|PhD Student||Peter Fisher||BBSRC DTP|
|PhD Student||Sarah Rixham||CIDCATS|
|PhD Student||Cagla Stevenson||NERC ACCE|
|PhD Student||Megan Sorensen||BBSRC DTP|
|PhD Student||Rebecca Hall||BBSRC DTP|
Computational investigation of microbial communities involved in methane production (2015-16)
The overall goal is to better understand microbial fermentation technology with a view to developing a sustainable approach for producing energy and other valuable products from waste biomass. The project will use mathematical modelling and computational approaches to investigate the complex interactions that occur in complex microbial communities, especially metabolite cross-feeding. The long term goal is to optimise the breakdown of variable or defined feedstocks in anaerobic digestion (AD) systems and to be able to manipulate the yield of particular fermentation end products (eg. alcohols, acids, gases).
Applicants should have a good first degree in a relevant physical/mathematical science, some experience in computer programming and an interest in the application of mathematical approaches to biological systems.