- Multiscale modelling of molecules-cell-tissue-organ interactions: we believe that tissue modelling is the missing link between basic research and clinical practice. We aim at developing a framework of methodologies for for an efficient multi-scale analysis and modeling between the cell and tissue levels. For the proof of principle we have chosen to focus on bone remodeling.

- Developing and testing methodologies for modeling biomedical systems (including bioinformatics and systems biology); we are interested in methodological cross-comparison (ODEs, Bayesian inference, formal methods) and multiscale approaches;  integration of multiscale modeling of biological systems and machine  techniques.


- Methods for Integrated analysis of Multiple Omics datasets. We aim at developing robust and efficient statistical methods for the integrated analysis of metabolomics, glycomics, proteomic and genomic datasets in large studies. For the proof of principle we have chosen to focus on metabolic health. A particular interest is on handling NGS data.


- Infectious diseases informatics 
(this involves both statistical bioinformatics and mathematical modeling);
on going collaborations focus on Hiv, flu, haematopoietic stem cells development.





A focus is on how both pathogen's molecular characteristics and social networks structure influence epidemics spreading and viceversa and on the conditions for epidemics spreading.








 
Bioinspired technology

The growing relevance of bioinspired and synthetic biology will depend on our understanding and skill in modeling biological systems and viceversa; social networks are influenced by Information Communications Technology and viceversa.