default


About

I’m a Young Investigator at the Allen Institute for AI on the Semantic Scholar team. My research is in natural language processing and cultural analytics. I explore the reliability of unsupervised NLP methods when applied to socially-specific datasets, and I’m interested in using computational methods to study stories, healthcare, and online communities.

I earned my PhD in Information Science from Cornell University, where I was advised by David Mimno. I have a master’s degree in Computational Linguistics from the University of Washington and have worked as a research intern at places like Microsoft Research, Twitter Cortex, Facebook Core Data Science, and Pacific Northwest National Laboratory.

My past work has examined how postpartum people share and frame their birth experiences, how online book reviewers use and write about genres, and why word vector similarities require additional stability tests when used to measure biases.


News

Oct 2022 Attending Text as Data (TADA) in NYC
Sept 2022 Attending the McGill Narrative & Society Conference in Montreal
Sept 2022 Speaking virtually at the Monash-Warwick-Zurich Text-as-Data Workshop
July 2022 Invited speaker at the Workshop on Narrative Understanding at NAACL 2022
Jun 2022 Visiting ETH Zurich as a Summer Fellow with Elliott Ash's group
May 2022 Papers accepted at the NLP+HCI and Narrative Understanding Workshops at NAACL 2022
Jan 2022 Our presentation on "Online Readership and Perceptions of Genres Over Time" has been accepted at Digital Humanities 2022
Jan 2022 Our tutorial BERT for Humanists and Social Scientists has been accepted at ICWSM 2022
Dec 2021 Speaking at Berkeley NLP Seminar
Dec 2021 Hosting a tutorial on BERT for the NLP+CSS 201 Tutorial Series
Dec 2021 Teaching an introductory NLP course for journalists as part of the Brown Institute Wrangler (Columbia + Stanford)
Dec 2021 Presented our paper on genre and LibraryThing book reviews at CSCW
Oct 2021 Selected as a "Rising Star in Data Science" by the University of Chicago Rising Stars workshop
Oct 2021 Selected as a "Rising Star in EECS" by the MIT EECS Rising Stars workshop


Media


Other Things