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.
|Jan 2022||Teaching NLP for Cultural Analytics at UW Linguistics|
|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|