Position: Ph.D.
Address: Department of Computer Science, University of Turin, Italy
I am interested in methodologies that allow quantitative analysis of biological systems. In particular, I am concerned about metabolic networks and the metabolism of microbial communities. Moreover, I am interested in tissue growth through a multi-level modelling approach considering the dynamics occurring among the different subpopulations of cells and regulatory networks describing cellular events in homeostasis and pathology. These approaches are based on mathematical modeling, application of models for systems biology, theory and application of Petri Nets (PNs) graphical modeling formalism, which allows for a general representation of interacting components in a network. Interests: – Computational Systems Biology; – Modelling and simulation techniques to analyse the behaviour of complex systems; – Mathematical models for cancer progression and treatment response; – Mathematical models of metabolism and regulation; – Modelling complex web of host-microbiome interactions; Integrating modelling methods in computational biology models I study Systems Biology through the application of mathematical models. I am interested in the definition of novel workflows and modelling frameworks with different purposes: 1. Identification of different types of cross-talks between modelling methods and their dependencies on available data; 2. Biologically and mathematically grounded decision making the setting for the integration of biological networks (regulatory, signalling, and metabolic networks); 3. The study of mathematical aspects and biological applications of these integrated approaches and outline their challenges and general applicability;