Miguel Lurgi

Miguel Lurgi

PhD student

Computer Scientist

I am a PhD student at the Department of Marine Biology and Oceanography at Institute for Marine Sciences, in Barcelona, Spain. Here, I work in multi-agent/individual based simulation of ecological communities and their interactions.

My main research interest focus on the ecological and evolutionary mechanisms behind the emergence of patterns at the level of interaction networks in heterogeneous communities, with special emphasis on individual variation and the adaptive value of individuals for speciation in these complex species assemblages.

As a computer scientist, particularly interested in artificial intelligence techniques for the design and engineering of intelligent systems, I believe that agent-based systems can be successfully applied to the simulation of complex ecological systems of this kind. I am interested in tackling the study of complex ecological systems by applying individual/agent based techniques for modelling natural communities and ultimately the networks of interactions observed among its constituent species.

My current research agenda includes the study of the assembly and disassembly dynamics in ecological networks and the role of evolution during these processes. Within this framework I am particularly interested in the application of individual based models that consider individual adaptation through evolution to construct a comprehensive body of theory that will allow to (1) study the formation (assembly) of complex communities from an evolutionary perspective and (2) to predict the effects of disturbances on these communities (disassembly) considering the dynamic responses that the community might be able to show once a given perturbation(s) has occurred (adaptation).

I am a Computer Engineer from the Simón Bolívar University, Venezuela; and I hold a MSc in Evolutionary and Adaptive Systems from the University of Sussex, UK. I also completed a MSc by Research in Simulation of Multi-agent Ecological Systems at the School of Informatics of the University of Edinburgh.

My research is funded through a Microsoft Research PhD scholarship; and I work in close collaboration with members of the Computational Ecology Lab, based at Cambridge, UK.