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For my new site go to: www.amiegordon.com
Amie M. Gordon
University of California, San Francisco

Email: amie.gordon(at)ucsf.edu
I am currently a postdoctoral fellow at UCSF, funded by the Greater Good Science Center and The John Templeton Foundation. 
I received my PhD in Social-Personality Psychology from UC Berkeley and her BA in Psychology from UCLA.

Research interests

AS A SOCIAL-PERSONALITY PSYCHOLOGIST, I EXAMINE THE INTERNAL AND EXTERNAL FORCES THAT SHAPE SOCIAL INTERACTIONS. I am particularly interested in (1) the roles of value and understanding in interactions, including how we understand other people’s minds and how we feel understood and valued by others and, (2) the incidental factors that hinder smooth social interactions—from basic biological processes like sleep and hunger to complex social constructs like power dynamics. In exploring these topics, I look both at the dynamics of social interactions, as well as how those interactions shape the quality of social relationships over time. 

Social interactions unfold dynamically with people continuously responding and reacting to each other. One unifying theme throughout my research is my focus on fully capturing the richness of social interactions by examining the ways in which partners knowingly and unknowingly influence each other. I do this by taking a dyadic perspective and going beyond people’s own experiences during interactions to also explore how people are affected by their partner’s actual thoughts, feelings, and actions as well as their perceptions and expectations of their partner. ​


I take a multi-level, multi-method approach, drawing upon data at the physiological, individual, and dyadic levels. I combine naturalistic, daily experience studies with experimental methods. I use observational methods to capture behaviors during dyadic interactions and psychophysiological methods to assess bodily responses to psychological experiencesThis approach has required that I learn a variety of statistical methods (e.g., multilevel,structuraequation, growth curve modeling; meta-analysis).