Nilam Ram
Department of Communication, Stanford University
Nilam Ram is a researcher at Stanford University's Department of Communication whose work spans intensive longitudinal methods, digital phenotyping, and the dynamics of psychological and social processes across the lifespan. Ram's research employs sophisticated computational and statistical approaches including dynamical systems modeling, Bayesian methods, and passive smartphone sensing to examine momentary fluctuations in affect, social interactions, health behaviors, and well-being in both younger and older populations. Notable areas of investigation include the relationship between digital technology use and mental health, couple dynamics and emotional synchrony, environmental influences on daily affect, and the development of open-source platforms for unobtrusive multimodal data collection. Ram's work integrates perspectives from developmental psychology, health psychology, and network science to understand how person-specific patterns of change unfold across multiple timescales.
Based on ORCID profile and published research
Expert in:
Publications
Modeling and managing behavior change in groups: A Boolean network method
By Xiao Yang, Réka Albert, Lauren Elreda Molloy, & Nilam Ram



