M. Ángeles Serrano is an ICREA Research Professor at the Dept. of Condensed Matter Physics of the University of Barcelona, UB. She holds a Ph.D. in theoretical physics from UB and a master in mathematics for finance from the Centre de Recerca Matemàtica, CRM. She spent several years in the private sector and returned to academia in 2004 to work in network science. She conducted postdoctoral research at IU (USA), the EPFL (Switzerland), and IFISC Institute (Spain) ultil 2009, when she was awarded a Ramón y Cajal Fellowship. M. Ángeles obtained the Outstanding Referee Award of the American Physical Society and a James McDonnell Foundation Scholar Award for the Study of Complex Systems. She serves as a Board member of the Statistical and Nonlinear Physics Division of the European Physical Society and belongs to the Editorial Board of the APS journal Physical Review Research. She is a founding member of Complexitat and a promoter member of the UB Institute of Complex Systems.

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, talk a common language that we are starting to understand. A major challenge for a better comprehension of the relation between their structure and function is the characterization of their multiscale nature in space and time. At the Mapping Complexity Lab, we are using networks to model and predict the evolution and adaptation capabilities of complex systems. We produce models and maps in a latent hyperbolic geometry where distances measure the likelihood of interactions and reveal their multiscale nature, nested architecture, dimensionality, and hidden symmetries. Our applications cover a wide variety of real systems, from biological to economic and socio-technological, and AI systems, that we characterize using massive data.