The most recent version of my CV can be found here.
My research sits broadly within political psychology and American political behavior. I put a great deal of focus on research questions about how emotions and affective entities influence political attitudes and behavior. I employ mostly experimental methods in order to address political cognition and how individuals process their political worlds.
My dissertation focuses on emotions; more specifically, I look at what types of people experience political anxiety and in what way, and how these experiences of anxiety differentially influence political engagement and participation. I argue that individual differences affecting subconscious and conscious attention to politics operate as selection mechanisms into experiencing situations that may induce political anxiety. Because of this, anxiety will not influence political behavior uniformly. I use a variety of experimental methods in addition to surveys to address the theoretical questions in my dissertation including selection experiments, physiological methods, and cognitive behavioral tasks.
I have a handful of other projects (reported more in-depth on the projects page) in more advanced stages that all center around emotion and perception and their effects on opinions and attitudes more broadly. These other projects include the role of emotion in aggressive responses to moral transgressions against political groups, how biological attribution of ideology influences prejudice and intolerance, the role of unstable high self-esteem in aggression and support for political violence, how framing of information contributes to willingness to punish political leaders, and the effects of ideological extremism on perception of one's own ideology. Other ongoing projects focus on how individual vs. identity threats affect groups, how threat influences how rights are perceived (especially rights of minority groups), the role of anxiety vs. stress in politics, and the role of competition in political participation.
I have training in a wide variety of methodological techniques including experimental design, advanced causal inference, physiological measures, neuroscience techniques, and statistical learning.