Dr. Gabriella Harari

Assistant Professor

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Biography

Gabriella Harari is an Assistant Professor in the Department of Communication at Stanford University, where she directs the Media Personality Lab. Her research investigates how personality manifests in both physical and digital contexts within everyday life. Focusing on understanding how digital technologies reflect and influence behavior, she analyzes individuals' everyday patterns, such as social interactions and mobility, alongside environmental contexts, revealing how personality traits correlate with individual well-being. Harari employs an ecological approach in her research, emphasizing the significance of studying behavior in natural settings. She conducts intensive longitudinal field studies and utilizes mobile sensing methods, blending social sciences with computer science techniques. Her methodologies include surveys, experience sampling, longitudinal modeling, mobile sensing, data mining, and machine learning. Gabriella completed her Postdoctoral Fellowship and earned a PhD in Psychology from the University of Texas at Austin, following her BA in Psychology & Humanities from Florida International University, where she was a Ronald E. McNair Scholar. Her work has been published in prestigious journals, including Perspectives on Psychological Science and the Journal of Personality and Social Psychology, and has received support from the National Science Foundation and Stanford HAI Seed Grant Awards.

Research Interests

Courses

COMM 346 COMM 108 COMM 208 COMM 345 COMM 145 COMM 245 COMM 399 COMM 380 COMM 195 COMM 199 COMM 299 COMM 199C COMM 290

Requirements for Stanford University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:26
Reading
Required:26
Writing
Required:26
Speaking
Required:26
Total
Required:100
GRE General
Verbal
Required:160
Quantitative
Required:165
Analytical Writing
Required:4.5
Overall
Required:4.5
Prerequisites
Bachelor degree from an accredited institution Strong background in mathematics and programming
Application Checklist
  • Statement of Purpose
  • Three letters of recommendation
  • Official transcripts
  • Resume/CV
Specialization Notes

The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.