I completed my Bachelor's degree in Physics at the Universidad Autónoma de Madrid, specializing in Theoretical Physics. As part of the Spanish mobility program SICUE, I had the opportunity to spend a period of my Bachelor's studies at the Universitat Autònoma de Barcelona. Following that, I received a fellowship from the Institute for Cross-Disciplinary Physics and Complex Systems (IFISC – CSIC/UIB) to pursue a Master's degree in Physics of Complex Systems at the Universitat de les Illes Balears. I was honored with the extraordinary distinction for achieving the best academic record of the year. Prior to pursuing my Ph.D., I gained valuable research experience. After completing my Bachelor's degree, I was awarded a research fellowship from the IFISC, where I worked on a project supervised by David Sánchez and José J. Ramasco (UIB/CSIC). In this project, we analyzed geolocalized tweets to study the relationship between the geographical distribution of languages and the socioeconomic status of UK inhabitants (see below the full text). During my Master's program, I conducted my Master's Thesis titled 'Coevolution in Coordination Games,' under the guidance of Anxo Sánchez (UC3M) and Maxi San Miguel (UIB). Specifically, in the context of Evolutionary Game Theory, I explored the conditions under which groups of coordinated individuals form and the emergence of segregation in time-evolving social networks (see below the full text). In addition to my research experience, I have also gained complementary experience in other areas. For example, in 2022, I worked for Clarity AI, specifically in the ESG Risk module within the Product Research and Innovation team. In this role, I provided programming support to conduct simulations, data analysis, and results visualization. Thanks to this background, I have plenty of experience in various techniques and tools for systems modeling, simulation and data analysis, namely statistical inference, analytical and numerical methods for solving differential equations, graph theory, stochastic calculus and stochastic simulation methods, Monte Carlo methods, many-body and agent-based simulations, intensive computing, etc.