My research program is primarily focused on the ways in which gender frames and informs listeners' perception of speakers, and additionally examines the ways in which gender informs speakers' own self-expression of identity and ideology through social indexical links. While my main methodological "home" focuses on experimental and quantitative sociolinguistic methods (using inferential and descriptive statistics), I also value and have utilized qualitative methods such as discourse analytic methods (conversation analysis and critical discourse analysis), programming tools and languages such as Unix and Python3, and corpus methods in my work. 

My current, in progress, projects include wrapping up my first qualifying paper on vocal creak and perceptions of young women's professionalism, working on my second qualifying paper examining "Bitch" diachronically in COCA, and writing up work on language science outreach to send out for publication.

My past work has included my MA thesis on the relationship between LGB speaking styles and the listeners perceptions and ideologies of those styles, online discourses concerning sexual violence against women on college campuses and the #MeToo movement on Twitter and Facebook, and how speakers' gender prototypicality influences listeners' true and false recall within the Roediger, Deese, McDermott false memory paradigm.