M. Ángeles Serrano

M. Ángeles Serrano

Universitat de Barcelona

Experimental Sciences & Mathematics

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.

Research interests

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.

Selected publications

- Jankowski R, Allard A, Boguñá M & Serrano MA 2023, 'D-Mercator: multidimensional hyperbolic embedding of real networks', Nature Communications, vol. 14, 7pp 585.
- 2Allard A, Serrano MA & Boguñá M 2023, 'Geometric description of clustering in directed networks', Nature Physics, 20, 150-156.
- van der Kolk J, García-Pérez G, Kouvaris NE, Serrano MA & Boguna M 2023 'Emergence of Geometric Turing Patterns in Complex Networks', Physical Review X, vol. 13, pp 021038.

Selected research activities

  • Plenary Speaker at the VIth Interdisciplinary International Conference on Applied Mathematics, Modeling and Computational Science AMMCS- 2023, Waterloo, Canada.
  • Invited Speaker at the 28th International Conference on Statistical Physics Statphys28, Tokyo, Japan.
  • Invited Speaker at the International Conference on Statistical Physics SigmaPhi 2023, Chania, Crete, Greece.
  • Invited Speaker at the Complex Networks: Hidden Geometry and Dynamics Workshop3@SigmaPhi 2023, Chania, Crete, Greece.
  • Invited Speaker at the III Conference of the Italian Society of Statistical Physics SIFS, Parma, Italy.
  • Appointed Member of the Board of the Statistical and Nonlinear Physics Division of the European Physical Society.
  • Member of the International Advisory Committee of STATPHYS28.
  • Member of the Internal Scientific Board of the University of Barcelona Institute of Complex Systems UBICS.
  • Member of the Editorial Board of the APS Physical Review Research journal.
  • Invited to the City and Science Biennal Barcelona, for the Conversation "Reaching the Complexity of the World".
  • Publication in online press: "Shake and divide: the cocktail formula for global consensus", publisehd in The Conversation (ISSN 2201-5639), dated Feb 16 2023.