I'm interested in a range of topics covered by the Statistical Physics of Complex Systems. In particular, my research focuses on understanding the structure, dynamics and complexity of systems (physical, biological, social, among others)* that can be represented as networks, i.e. whose fundamental feature is the connectedness between its constituent elements. Some examples of thephenomenaunder studyare:
-Structural phase transitionsin networks, -The emergenceand spread ofepidemicsin social systemsorthe Internet(computer virus), -Sequentialfailuresinelectricity distributionsystems, - Coupling andsynchronization of oscillators(describing, for example,seismicevents,neuronal systemsand the functioningof cellsregulated bycardiacpacemakers), -Searching for informationin networks(eglocate informationon the WWW) -Traffic andflowof a physical quantity,data orinformationon networks, -Molecular processesat the cellular level(cellular metabolismorinteractionsandprotein folding).
This interdisciplinary field is often called Network Science and uses methods from graph theory (mathematics), statistical mechanics (physics), data mining (computer science), social structure (sociology), among others. Currently my approach to these phenomena is mainly theoretical (computational and analytical), although I have also used empirical approaches in the past.