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 work sits at the intersection of computational neuroscience and clinical psychiatry.

My training spans computational mathematics, dynamical systems, topological data analysis, and clinical neuroimaging. I develop quantitative frameworks, drawing on network science, TDA, and machine learning, to extract neuroimaging biomarkers that are clinically relevant from multimodal data (fMRI, dMRI, EEG) across psychiatric populations.

Current Research