Tommaso Gili

Tommaso Gili is an Assistant Professor at the IMT School for Advanced Studies Lucca, specializing in interdisciplinary research at the intersection of network science, neuroscience, and biomedical engineering. His work focuses on analyzing complex systems through network theory and advanced imaging techniques, with emphasis on brain connectivity, functional networks, and their disruptions in neurological disorders.

Key research areas include:

• Functional and structural brain network integration
• Multi-scale Laplacian analysis in heterogeneous systems
• Applications of network theory to medicine (e.g., schizophrenia, epilepsy, inflammatory bowel disease)
• Development of novel methods for network coarse-graining and renormalization

His research leverages fMRI, MRI, and computational modeling to study:

• Cerebral blood flow dynamics
• Neurological connectivity alterations
• Biomedical signal processing
• Complex disease biomarker discovery

Notable contributions include innovations in:

• Functional connectivity analysis of C. elegans
• Topological symmetry-breaking in brain networks
• Machine learning approaches for brain digital twins