Lia Talozzi

The paper uses long-read genome sequencing and multi-omics data to identify structural variants associated with aging and neurodegenerative diseases, finding that SVs are more likely to be causal than SNVs.

This study identifies genetic variants associated with human longevity, finding enrichment for oncogenic genes and pathways linked to cancer and clonal hematopoiesis.

This paper uses deep learning to generate disconnectomes from stroke lesion masks, achieving faster computation and better prediction of post-stroke cognitive and behavioral outcomes.

The paper develops a method to map white and grey matter contributions to resting-state networks and finds that 89% of white matter is shared across multiple networks.