معرفی
Nilam Ram is a Professor of Communication and Psychology at Stanford University, with affiliations in the Wu Tsai Human Performance Alliance and the Symbolic Systems Program. His research focuses on the dynamic interplay of psychological processes and media use, leveraging longitudinal methodologies and intensive data streams from digital devices. He holds dual appointments in Communication and Psychology, emphasizing interdisciplinary approaches to studying change across lifespan development.
Education: B.A. in Economics (not specified), followed by transitions into kinesiology and psychology. Current research explores media effects, digital phenotyping via the Human Screenome Project, and applications of AI to longitudinal data. He teaches courses on temporal data analysis, statistical methods, and media psychology.
Research Interests: Longitudinal study designs, intensive longitudinal data (e.g., smartphone screen captures), affective aging, and the impact of digital media on mental health. His work bridges computational methods with psychological theory, emphasizing person-specific analyses over aggregated trends.
Recent Article Themes: Smartphone use and suicide risk prediction, digital nature vs. physical nature impacts, transformer models for mortality prediction, and mindfulness interventions. These reflect a focus on real-time behavioral tracking and AI-driven insights.
- Labs/Teams: The Change Lab @ Stanford
- Grants/Advising: Mentors doctoral and postdoctoral researchers in media psychology and data science. Courses include advanced statistical methods and interdisciplinary projects.
