Algebraic geometryBioinformaticsCitation AnalysisCitationsClusteringCollaboration NetworksComplex SystemsComplexity in MaterialsComputational BiologyComputational Systems BiologyConsensusContact NetworksDiffusion Limited AggregationDigital EpidemiologyElectionsFoundations of Statistical MechanicsGeneral PhysicsInfectious diseasesInformation DynamicsInformation NetworksInternet TrafficLanguage DynamicsMass SpectroscopyMathematics of complex systemsMobilityNetwork ScienceOptimizationPhylogenyQuantum complex networksQuantum InformationQuantum OpticsRandom DiffusionRepresentation theoryScience of ScienceSocial DynamicsSocial SystemsStatistical Physics and Computational Systems BiologyStructure DetectionSymmetriesTensor Network StatesTopologyTransportUniversality
ALL ProjectData Science for Social Impact and SustainabilityFAI LabLagrange ProjectLearning and Algorthms for Data AnalyticsMathematics and Complex Systems
Results in Computational Biology
EpiFor studies complexity and predictability of epidemics aiming at developing a computational infrastructure for epidemic forecasts.The ERC Starting Independent Researcher Grant offers an ideal opportunity to start a structured program in this direction, aimed at providing fundamental advances in the field.
Phylogenetic properties of RNA viruses
Host mobility drives pathogen competition in spatially structured populations
