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, and in using NLP approaches to examine language variation and change (computational sociolinguistics). I’ve worked on developing models to identify language variation on social media, on applying lessons from sociolinguistics and linguistic anthropology to understanding harms arising from NLP systems, and on using the language of measurement modeling to rigorously analyze approaches to quantifying bias in NLP.

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 Hanna Wallach, Hal Daumé III, and Solon Barocas.

Recent news

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.

Oct. 2019: I gave a talk at Text as Data.

June 2019: I’m honored to have been named among the best reviewers for ICWSM 2019.

May 2019: I’m interning at Microsoft Research in New York this summer.

Apr. 2019: I’m honored to have received an Accomplishments in Search & AI Award for UMass CICS.

Apr. 2019: I’m honored to have received a CICS Outstanding Synthesis Project Award.