My research focuses on computational neuroscience, multimodal neuroimaging, artificial intelligence, and brain network analysis. I use EEG, fMRI, intracranial recordings, and machine learning to study large-scale neural dynamics in neurological and psychiatric disorders, including epilepsy, substance use disorders, and other mental health conditions. My work develops neurophysiological, imaging, and language-based biomarkers to improve disease characterization, severity assessment, and personalized intervention, with a broader goal of advancing data-driven precision neuroscience.