Almost immediately after meeting someone, we have already noticed their gender. I study gender biases and stereotypes with a social cognitive focus. My research also concerns power, moral psychology, person perception, nonverbal behavior, and intergroup relations more broadly. To learn more, check out my CV, publication record, teaching, or contact me!
Summary of Research Program: Research Statement
Summary of Teaching Philosophy: Teaching Statement
When asked to think of a person, many people default to thinking of a man. This behavior reflects the androcentric tendency to take men as the seemingly gender-neutral standard while viewing women as distinctly gender-marked. Inter-disciplinary resaerch on androcentrism often emphasizes it at a macro level societal force. My work elaborates the psychological causes and manifestations of androcentrism with a social cognitive focus.
"Master" vs. "Head": A natural experiment[coming soon]
People form impressions of others based in part on nonverbal behavior. Expansive body postures convey power to perceivers compared to contractive body postures, and some have claimed that briefly enacting body postures make people feel and act powerful. Gender is also connected to power, with men stereotyped as more powerful and "agentic" than women. I investigate the possible role of gender in disrupting the link between power and body postures.
...but gender interferes[coming soon]
People tend to like women more than men, and further, tend to like stereotypically feminine traits, e.g., warmth and honesty. My research is uncovering some surprising exceptions to the apparent positivity of women and feminine-linked traits, which have sometimes been considered to be obligatory. David Melnikoff is a key collaborator in this research.
Only submissive women are wonderful[coming soon]
Only about a quarter of STEM employees in industry and academia are women. Gender biases contribute to these disparities. Video Interventions for Diversity in STEM (VIDS) is a scalable intervention comprised of professional videos validated to reduce bias. Our work tests ways VIDS can be maximized and improved. This work is in collaboration with Eva Pietri and Erin Hennes.