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, ecosystems and economies are examples of complex systems. In complex systems, individual components interact with each other, usually in nonlinear ways, 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 and, particularly, of the structure of complex networks and the interplay between network structure and dynamics. 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 approaches to network and non-network problems, at the interface of probability theory, theoretical computer science, and statistical physics.

Selected publications

- Guimera, R; Reichardt, I; Aguilar-Mogas, A; Massucci, FA; Miranda, M; Pallares, J; Sales-Pardo, M; 2020, 'A Bayesian machine scientist to aid in the solution of challenging scientific problems', Science Advances 6 (5), eaav6971.

- Reichardt, I; Pallares, J; Sales-Pardo, M; Guimerà, R; 2020, 'Bayesian machine scientist to compare data collapses for the Nikuradse dataset', Physical Review Letters 124 , 084503.

- Guimera, R; 2020, 'One model to rule them all in network science?', Proc. Natl. Acad. Sci. USA 117 (41) , 25195-25197.

- Pozo, C; Galan-Martin, A; Cortes-Borda, D; Sales-Pardo, M; Azapagic, A; Guimera, R; Guillen-Gosalbez, G; 2020, 'Reducing global environmental inequality: Determining regional quotas for environmental burdens through systems optimisation', Journal Of Cleaner Production, 270, 121828.


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)

- Mecánica Estadística para el Modelado y la Predicción del Comportamiento Humano, MINECO (Spain)

- Network and Data Science, AGAUR (Catalonia)

Plenary lectures:

- 6th Comsotec Workshop, February 14, Burgos (Spain)

Editorship:

- PLoS ONE