CMU’s Psychology PhD integrates cognitive neuroscience, computational modeling, and social-behavioral methods. Students analyze 7-Tesla fMRI data on language processing, develop VR platforms for social interaction studies, and build AI interventions for mental-health resilience. Cross-training in machine learning and ethics prepares graduates for academia, industry R&D, or policy roles.
EEG-informed adaptive tutoring system improving math learning curves
fNIRS hyperscanning study of teamwork synchrony in esports
Deep-learning classifier detecting depression from speech prosody
Agent-based model simulating rumor spread under cognitive-bias parameters
VR exposure therapy efficacy for climate-anxiety reduction
Eye-tracking analysis of reading comprehension with variable font complexity
Predictive algorithm for relapse in substance-use recovery using wearables
Meta-analysis of growth-mindset interventions across cultures
Resting-state connectivity biomarkers forecasting ADHD treatment response
Field experiment on nudges reducing smartphone overuse in teens
Computational model of value-based decision making under stress
Study on cross-modal sensory integration in synesthesia
Open-source toolkit for affective computing in HCI research
Policy brief on ethical deployment of emotion-AI in workplaces
Citizen-science platform collecting sleep and mood data for large-N studies
Decode cognition and behavior with CMU’s interdisciplinary Psychology PhD.
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