Nonlinear Dynamics and Evolution (NoDE) Lab

Our laboratory is interested in understanding biological nonlinear phenomena. Our research is focused on Biomedicine (including cancer and viruses), in systems and synthetic Biology as well as in theoretical ecology. To do so we use the qualitative theory of dynamical systems and computer simulations (stochastic dynamics and spatially-extended systems). 

We are especially interested in characterizing both asymptotic and transient dynamics of these systems and their sensitivity to parameter changes. That is, understand which bifurcations govern transitions in biological systems.

 

Team leaders
Josep Sardanyes Cayuela
Senior Researcher  -  CRM
Research team
Tomas Lazaro
Senior Researcher  -  UPC - CRM
Blai Vidiella Rocamora
PostDoc Researcher  -  CRM
Complex Systems
External collaborators
Ernest Fontich
Departament de Matemàtiques i informàtica, Universitat de Barcelona
Antoni Guillamon
Universitat Politècnica de Catalunya
Jorge das Neves Duarte
Instituto Superior de Engenharia de Lisboa (ISEL) and Instituo Superior Técnico (IST)
Cristina Januário
Instituto Superior de Engenharia de Lisboa
Latest publications
Noise-induced bistability in the fate of cancer phenotypic quasispecies: a bit-strings approach
Bifurcation gaps in asymmetric and high dimensional hypercycles
Coexistence stability in a four-member hypercycle with error tail through center manifold analysis
The Nonlinear Dynamics and Evolution (NoDE) Lab team
General information

Research at The NoDE Lab (Lab website)

Our laboratory seeks to understand nonlinear phenomena in Biology. Nonlinearities are of paramount importance in biological processes in Biomedicine, systems biology, and theoretical ecology. We use the Theory of Dynamical Systems to carry out our research. This mainly includes the qualitative theory of ordinary differential equations, computer simulations (agent-based models in the mean-field approach, and cellular automata (spatial) models). Our research is divided into two main research lines: Mathematical medicine which includes research on cancer and viruses dynamics and evolution. We are focusing on the modeling of epigenetic regulation in cancer, immunotherapy, targeted cancer therapies, and the role of cancer cells' heterogeneity in tumors' fate. Research on viruses is mainly focused on viral interference therapies and competition/cooperation between viruses. The research line on systems/synthetic biology and theoretical ecology includes investigations on cellular circuits, dynamics of facilitation in ecosystems, trophic-chains, tipping points in ecosystems, and origins of life. Our research contains strong collaborations with experimental and clinical research groups.

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