My research at the intersection of mathematics and health focuses on understanding complex brain networks and disease interactions using tools from network science, information theory, and data analysis. By modeling the brain as a complex system, I aim to uncover the computational principles underlying its function and dysfunction. How structural changes of the brain impact its computational properties, leading to cognitive decline?
Across different collaborations, I have investigated the complex activity patterns underlying disorders such as Parkinson's and Alzheimer's disease. This work connects to Marr's algorithmic level of analysis, focusing on the computational strategies neural systems use to carry out their functions. Together with Camille Mazzara, I studied how neuronal loss alters the brain's computational properties, contributing to cognitive decline in Alzheimer's disease. In another collaboration with Hasnae Agouram, we examined how dopamine intake reshapes connectivity patterns in brain recordings.
At a broader scale, I have also explored the structure of disease comorbidity networks. This research revealed how the roles of specific diseases shift across age groups, and how some conditions with high centrality in the comorbidity network are neither highly prevalent nor highly fatal.
Overall my research show how the study of the computational properties of brain networks and disease interactions can provide valuable insights into the mechanisms underlying neurological disorders and inform potential therapeutic strategies.