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Roger Guimerà

Roger Guimerà

Universitat Rovira i Virgili

Experimental Sciences & Mathematics

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 that are neither totally regular nor totally random. 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 of complex networks, 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, machine learning, and statistical physics.

Selected publications

– Rodriguez-Martinez, Xabier; Pascual-San-Jose, Enrique; Fei, Zhuping; Heeney, Martin; Guimera, Roger; Campoy-Quiles, Mariano 2021, ‘Predicting the photocurrent-composition dependence in organic solar cells’, Energy & Environmental Science, 14, 2, 986 – 994.

– Poux-Medard, Gael; Cobo-Lopez, Sergio; Duch, Jordi; Guimera, Roger; Sales-Pardo, Marta 2021, ‘Complex decision-making strategies in a stock market experiment explained as the combination of few simple strategies’, Epj Data Science, 10, 1, 26.

Selected research activities

Active grants:

– Física estadística de selección y validación de modelos para datos complejos, MINECO (Spain)

– Data science of judicial decisions for evidence-based housing policies in Spain, La Caixa Foundation (Catalonia)

– Modelització probabilística per a predir l’evolució de la COVID-19: parametrització i correcció automàtica, AGAUR (Catalonia)

– Network and Data Science, AGAUR (Catalonia)



Technology transfer agreements:

– GREENh2PIPES, Enagas (Spain)

ICREA Memoir 2021