I am a scientist whose research interests lie at the cross-roads between neuroscience, complex networks and the theory of dynamical systems. I am particularly interested in understanding behaviour from a global and integrative perspective. I studied theoretical physics at the University of the Basque Country, Spain, and biophysics at the University of Oulu. I obtained my Ph.D. (physics) at the University of Potsdam, Germany and I currently work at the Universidad Pompeu Fabra in Barcelona, Spain.
I am an expert in the analysis of complex networks. From the beginning of my research career I have used Python and numpy (numeric in the beginning) to perform all my programming. I never used third-party software for the analysis of complex networks so I ended up collecting a vast library of self-made routines for graph analysis (GAlib), which I am now polishing and releasing for public use. GAlib (Graph Analysis Library) is a simple to use and extend library for the analysis of complex networks. Graphs are represented as adjacency matrices (2D arrays) what limits the capacity of the library to work with large networks, but allowed me to squeeze the powers of numpy to manipulate arrays for faster functions.