M. Ángeles Serrano is an ICREA Research Professor in the Dept. of Condensed Matter Physics at the University of Barcelona (UB), and External Faculty at CSH Vienna. She holds a Ph.D. in theoretical physics from UB and a master's in mathematics for finance from the CRM. After four years in IT consulting and finance, she returned to academia in 2004 to study complex networks. She was a postdoctoral researcher at IU (USA), EPFL (Switzerland), and the IFISC Institute (Spain) until 2009, when she was awarded a Ramón y Cajal Fellowship. M. Ángeles is a Fellow of the APS and a Fellow of the Network Science Society. She has received the APS Outstanding Referee Award and a James S. McDonnell Foundation Scholar Award for the Study of Complex Systems. She serves on the Boards of the EPS Statistical and Nonlinear Physics Division and the Network Science Society. She is a founding member of Complexitat and a founding promoter member of the UB Institute of Complex Systems UBICS.

Complex systems -e.g., the human brain, the Internet, molecular networks in the cell, international trade, and many more- are ubiquitous and around us. All of them, regardless of their origin, share a common language that we are starting to understand. A major challenge for a better comprehension of the relationship between their structure and function is to characterize their multiscale nature in space and time. At the Mapping Complexity Lab, we use networks to model and predict the structure, function, evolution, and adaptive capabilities of complex systems. We create models and maps in a latent hyperbolic geometry, where distances quantify the likelihood of interactions and reveal multiscale nature, nested architecture, dimensionality, and hidden symmetries. Our applications span a wide range of real systems, from brain connectivity to social networks and AI systems, which we characterize using massive data.