Roger Guimerà (Barcelona, 1976) graduated in Physics at Universitat de Barcelona in 1998, and obtained a PhD in Chemical Engineering from Universitat Rovira i Virgili in 2003. He then moved to Northwestern University where he worked as a postdoctoral fellow and, later, as a Fulbright Scholar. In 2008 he became a Research Assistant Professor at Northwestern's Department of Chemical and Biological Engineering, before accepting his current position at ICREA in 2010. He has been awarded the Premi Nacional de Recerca al Talent Jove (2010), the Erdös-Rényi Prize in Network Science (2012), and the Young Scientist Award for Socio- and Econophysics (2014).
Research interests
Cells and economies are examples of complex systems. In complex systems, individual components interact with each other, giving rise to complex networks of interactions. Partly because of the interactions themselves and partly because of the interaction's topology, complex systems cannot be properly understood by just analyzing their constituent parts. This feature of complex systems poses important challenges from both a fundamental perspective and an engineering perspective. Roger's research is devoted to the study of complex systems. During his career, he has: (i) made methodological contributions to the study and probabilistic modeling of complex systems, and (ii) used complex network analysis to gain understanding on a number of systems. During the last years, Roger's work has turned to the development of probabilistic models and Bayesian inference, at the interface of probability theory, statistical physics, and interpretable machine learning.
Selected publications
- Cabanas-Tirapu O, Danús L, Moro E, Sales-Pardo M & Guimerà R 2025, 'Human mobility is well described by closed-form gravity-like models learned automatically from data', Nature communications, 16 - 1 - 1336.
- Lázaro T, Guimerà R & Sales-Pardo M 2025, 'Probabilistic alignment of multiple networks', Nature communications, 16 - 1 -3949.
- Pérez-Ribera M, Faizan-Khan M, Giné R, Badia JM, Junza A, Yanes O, Sales-Pardo M & Guimerà R 2025, 'SingleFrag: a deep learning tool for MS/MS fragment and spectral prediction and metabolite annotation', Briefings in bioinformatics, 26 - 4 - bbaf333.
- Correig-Fraga E, Guimerà R & Sales-Pardo M 2025, 'Interplay between children's cognitive profiles and within-school social interactions is nuanced and differs across ages', Communications psychology, 3 - 1 - 44.
Selected research activities
Active grants:
- Statistical physics of network inference for interpretable machine learning, MINECO (Spain)
- Aprendizaje Matemático Individualizado potenciado por la Inteligencia Artificial, MICIU (Spain)
Academic editorship:
- PLoS ONE