about me

I am a postdoctoral researcher in the Fairness, Accountability, Transparency, and Ethics (FATE) group at Microsoft Research Montréal. I’m broadly interested in examining the social implications of natural language processing technologies. My research currently focuses on conceptualizing harms arising from language technologies, better measuring these harms and other social impacts, and uncovering how language technologies are produced, especially assumptions and constraints surrounding their production. I’ve also worked on using NLP approaches to examine language variation and change (computational sociolinguistics), for example developing models to identify language variation on social media.

Previously, I completed my Ph.D. in computer science at the University of Massachusetts Amherst working in the Statistical Social Language Analysis Lab under the guidance of Brendan O’Connor, where I was also supported by the NSF Graduate Research Fellowship. I received my B.A. in mathematics from Wellesley College. I interned at Microsoft Research New York in summer 2019, where I was very fortunate to work with Solon Barocas, Hal Daumé III, and Hanna Wallach.

recent news

May 2021: Two papers accepted to ACL 2021: a paper investigating four benchmark datasets for measuring stereotyping, and a paper examining race, racism, and anti-racism in NLP.

Apr. 2021: We co-organized a workshop at the intersection of human-computer interaction and natural language processing (with Michael Madaio, Brendan O’Connor, Hanna Wallach, and Qian Yang).

Oct. 2020: I started a postdoc at Microsoft Research!

Sept. 2020: I defended my thesis virtually!

Apr. 2020: Our paper examining work on bias in NLP has been accepted to ACL 2020.

Feb. 2020: I defended my thesis proposal!

Jan. 2020: I presented a tutorial with Abbie Jacobs at FAT* 2020.

Oct. 2019: I attended the Rising Stars in EECS Workshop at UIUC.