M. Ángeles Serrano is an ICREA Research Professor in the Dept. of Condensed Matter Physics at the University of Barcelona, UB. She holds a Ph.D. in theoretical physics from UB and a master's in mathematics for finance from the Centre de Recerca Matemàtica, CRM. After four years in 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 the Network Science Society. She has received the APS Outstanding Referee Award and a James McDonnell Foundation Scholar Award for the Study of Complex Systems. She serves on the Board of the Statistical and Nonlinear Physics Division of the EPS and is on the Editorial Board of the APS journal Physical Review Research. She is a founding member of Complexitat and a founding 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.