I’m a Young Investigator at the Allen Institute for AI, where I work in natural language processing and cultural analytics. In Fall 2025, I will start as an Assistant Professor in the CS Department at CU Boulder.

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 FATE, Twitter Cortex, Facebook Core Data Science, and Pacific Northwest National Laboratory. I’ve been recognized as a “Rising Star” in both computer science and data science.

Research Interests

📐 Measuring the Reliability of NLP Tools: I’ve shown that popular NLP methods ported to new domains can result in surprising instabilities and biases: for example, word vector similarities require additional stability tests when used to measure social biases.

Modeling Narratives and Values: I’ve used NLP models to study storytelling, framing, and expression of values, investigating questions like where people tell stories online and what values are held by readers of different genres. With collaborators in the humanities, I’ve also studied online reading communities, examining topics like the “classics” according to Goodreads users and the canonization process of books from interwar Paris.

⚕️ Person-Focused NLP for Healthcare: I’ve worked with interdisciplinary teams of clinicians and researchers at Microsoft, Facebook, the Hospital for General Surgery NY, and the Association of American Medical Colleges. My research has focused on modeling the experiences of care-seekers: for example, how postpartum people share and frame their childbirth narratives and how an online community collaboratively makes sense of difficult healthcare decisions. I’ve also built a public facing set of foundations of responsible NLP use for maternal health equity.

News and Upcoming Talks

Fall 2024 I'll spend a year at the Pioneer AI Center at the University of Copenhagen working on narrative research
August 2024 Presenting our work on narrative detection at ACL in Bangkok
Jun 2024 Attending NAACL in Mexico City, where our work on personalized jargon identification will be presented
June 2024 Presenting our work on guiding principles for NLP for maternal healthcare at FAccT in Rio
June 2024 Our work on sensemaking in online discussions of contraception will be presented at ICWSM
June 2024 Speaking at the Symposium on LLMs for xPhi in Krakow, as part of the European Experimental Philosophy Conference
May 2024 Giving a keynote talk at the Workshop on Reference, Framing, and Perspective at LREC-COLING in Torino

Teaching, Outreach, and Resources

I designed and taught NLP for Cultural Analytics for the Linguistics department at the University of Washington in Winter 2023.

I’m one of the lead organizers for AI for Humanists, a series of tutorials and workshops that guide interdisciplinary researchers in using large language models. In addition to our independent tutorials, I’ve led or co-led sessions at ICWSM, FAccT, Bell Labs, and the popular NLP+CSS 201 tutorial series. I’ve also taught similar public-facing courses for the Hertie School in Berlin, the Brown Institute at Columbia, and the IDEAS Summer School at Northeastern.

I’m the lead builder and maintainer for some cultural analytics tools:


Recent Service

Other Things