I am a postdoctoral researcher in the Weitz lab at Georgia Tech. I am interested in using mathematical and computational methods to investigate and solve ecological and environmental problems. In this sense, I can be termed a computational ecologist. I was awarded my PhD from the University of Exeter where I was a part of the Earth Systems Science Group. Thank you to Hywel Williams for supervising me! Previously I've studied at the University of Leeds, University of York and with the Computational Science Lab at Microsoft Research.
I believe one step towards making science more available in general, is to provide free and open access to research materials. I do not agree with the predominantly expensive open access options provided by many publishers, but am a strong advocate of making pre/post-prints of my research available. If I write a paper, I would sure like to make it as easy as possible, for as many people as possible, to be able to read and use the information discovered! Specific journal policies on this matter can be found using SHERPA/RoMEO.
In my spare time I enjoy being in the great outdoors, especially on the coast. Some of the other things I like to do are playing the harmonica (badly), reading books and playing computer games. Chances are, I am thinking about the sea right now.
There are estimated to be over 1030 viruses of prokaryotic bacteria, known as bacteriophage or just phage, in the worlds oceans (Suttle, 2005) which makes them an important component of the global marine ecosystem and ocean biogeochemistry. However, much is unknown about the strengths of these interactions and the coevolutionary processes that mediate community structure and dynamics of microbial ecosystems. Better understanding of how these processes influence one another on the small scale e.g. in chemostats or flasks, may lay down the foundations for embedding virus population models into circulation models of oceanic sizes - which may further inform about how viruses can control biogeochemical cycling.
Bipartite network analysis
The infection pattern between phage and bacteria is an example of a bipartite (two mode) network. Finding and attempting to understand the structures in these types of networks can help explain how communities organise and behave. I have a keen interest in the patterns of nestedness (a generalist to specialist gradient of overlapping range) and modularity (communities formed between the two sets of nodes). These concepts have been largely applied to ecological datasets - but there are many other types of bipartite networks out there where these analyses could prove useful.
The categories below highlight my publications, software and other research outputs. Click on a category to expand or contract it. I try my best to provide open access to all my research. You may also be interested in viewing my Google Scholar and ResearchGate profiles.