MESci, University of Oxford (2004)
Adam is a postgraduate research student specialising in theoretical and computational biology. His work focuses on understanding how evolution creates novelty and complexity.
In the immediate term, the broad scope of Adam's study is to develop deeper understanding of the large scale structure of the problem faced by natural selection in the earth's environment, with the idea that such an understanding may go some way to explain many of the macro scale patterns observed in biological evolution (e.g. trends in complexity, modularity, hierarchy, evolvability, decomposability, exaptation and adaptive radiations).
The long term goal of this project is to take this understanding and apply it to other evolutionary systems (e.g. social, technological, economic), in a hope to gain deeper insights into how such systems function, and how better to manipulate them. Because many (perhaps all) of these systems the same fundamental problem space as biological evolution, the hope is that insights on the nature of the problem space itself are generic, and hence can be applied validly to all such systems.
A similar, parallel goal, is to use this information to improve existing artificial evolutionary techniques (e.g. genetic algorithms, genetic programming, etc.), and finally, to simulate open-ended complexity trends in in-silico evolution.
Adam is also very interested in outreach, and particularly, engaging the general public with science. He regularly appears as a guest correspondent on BBC Radio Solent, discussing scientific topics, and has taken part in a number of other media appearances. From 2009 he has also been a NOISEmaker, as part of the EPSRC's NOISE campaign (New Outlooks in Science and Engineering), which is an initiative that aims to promote public engagement in science.
University of Southampton
Electronics and Computer Science (FPAS)