Vaid’s research explores how digital media technologies can be used to study and alter psychological processes and outcomes. He is especially interested in a person-specific, computational and idiographic approach that examines the extent to which individual differ from each other in their response to different kinds of media.
Vaid uses a variety of computational methods ranging from machine learning to dynamic structural equation modeling to inferential statistics. He is especially interested in examining dynamics between digital media use and psychological wellbeing in diverse regions of the world where technology use is growing the fastest. He is also interested in ethical and philosophical issues concerning the mind, communication processes and scientific methodology more broadly.
Academic Background
- M.A. in Social Sciences and Certificate in Computational Social Science, University of Chicago
- B.A. in Psychology with general and departmental honors, University of Chicago
Focus Area
Media Psychology, Advisor: Gabriella Harari