Dynamic Network Neuroscience & Psychiatry

I study how dynamics of large-scale brain networks give rise to behavior, how their disruption underlies psychiatric illness, and how clinical interventions can reorganize this network architecture to drive therapeutic change.

I am a Postdoctoral Fellow in the Center for Computational Psychiatry and Depression and Anxiety Center at the Icahn School of Medicine at Mount Sinai.

My training spans applied mathematics, dynamical systems, topological data analysis, and clinical neuroimaging. My research focuses on data-driven study of the brain. In particular, I develop brain network modeling frameworks, drawing on network science and unsupervised machine learning approaches, to extract clinically relevant neuroimaging biomarkers from multimodal data (fMRI, dMRI, EEG) across psychiatric populations.

Current Research