John Realpe-Gómez has a Ph.D. degree from the Politecnico di Torino (Turin, Italy), where he worked in the application of methods from the statistical physics of disordered systems to `hard' computational problems of relevance in economics. This allows for the discovery of phenomena like phase transitions, which are believed to be related to the onset of computational complexity and to develop heuristic and fully distributed algorithms that efficiently compute solutions. Specific problems in which he has worked include optimal allocations in budget-constrained auctions and finding Nash equilibria in graphical games with local and global interactions. In his postdoctoral studies at the University of Manchester, UK, he has used methods of non-equilibrium statistical mechanics and individual based models to study ecological and socioeconomic systems. More specifically, by using the van Kampen system-size expansion and stochastic simulations he has investigated the role of intrinsic noise in the dynamics of model semi-arid ecosystems and game learning. He has been at the Universidad de Cartagena (Colombia) since October 2012.