Speakers - PAWC2025

Biography

I am currently a second-year master student in computational social science at the University of Chicago. I am interested in combining theory-driven and data-driven approaches towards a more naturalistic, multi-modal assessment of psychopathology. On the theory-driven side, I study cognitive and affective dysfunctions in real-life scenarios, focusing on naturalistic decision-making, cognitive maps, and reward generalization. I also explore spontaneous thought dynamics using think-aloud fMRI, attractor-state modeling, and semantic network analysis to uncover psychiatric relevance. On the data-driven side, I am interested leveraging multi-modal ethological data (behavioral, speech, physiological, neuroimaging, bioinformatics), alongside advanced multi-modal fusion techniques to identify early warning signals, develop multi-modal biomarkers, and personalize treatment strategies.