Welcome to Our Research Group
We are an interdisciplinary research group studying the interplay between structure and dynamics in complex systems. Using tools from statistical physics, nonlinear dynamics, and network science, we investigate synchronization and the emergence of collective behavior in a wide range of systems, with a particular focus on brain networks and computational neuroscience, while also exploring ecological systems. Our research combines mathematical modeling, computational methods, information theory, machine learning, and Bayesian inference to uncover the fundamental principles governing complex systems. We are particularly interested in adaptive and multilayer networks, collective oscillations, information processing, and how network architecture shapes system dynamics. While our work has primarily focused on theoretical and computational models, we are increasingly interested in connecting these models with experimental observations through collaborations involving real brain data. We welcome collaborations with researchers from diverse disciplines and enthusiastic students interested in interdisciplinary science. Whether your interests lie in theoretical modeling, computational research, experimental neuroscience, ecology, or data-driven approaches to complex systems, we invite you to explore our work and join our research community.
