I’m a postdoc at the Pioneer Centre for AI at the University of Copenhagen and an incoming Assistant Professor in Computer Science at the University of Colorado Boulder, where I’m also affiliated with the Department of Information Science. My research focuses on natural language processing and cultural analytics.
Previously, I was a Young Investigator at the Allen Institute for AI, and I completed my PhD in Information Science at Cornell University, advised by David Mimno, and my master’s degree in Computational Linguistics at the University of Washington. I’ve also spent time at places like ETH Zurich, Microsoft Research FATE, Twitter Cortex, and Facebook Core Data Science.
📐 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. I’m generally interested in datasets, domains/genres, and probing of data-centric methods.
📚 Modeling Narratives: I’ve used NLP models to study storytelling, investigating questions like where people tell stories online and how we can extract narrative pathways and framing. With collaborators in the humanities, I’ve also studied narrative reception, examining topics like how readers of different genres write book reviews and what the “classics” mean to Goodreads reviewers.
⚕️ Person-Centered 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 using NLP technologies to examine people’s healthcare experiences: for example, how postpartum people share and frame their childbirth narratives and how an online community collaboratively makes sense of difficult healthcare decisions.
☀️ I accepted a tenure-track job offer in Computer Science at the University of Colorado Boulder!
🚲 I’m currently spending a year at the Pioneer Centre for AI at the University of Copenhagen
📝 New work about poetry evaluation and LLM memorization accepted at EMNLP Findings
📝 New work about story perceptions accepted at EMNLP
📝 New work about sensitive disclosures in user-chatbot conversations accepted at COLM
📝 New work about story detection across communities accepted at ACL
📝 New work about LLMs and maternal healthcare accepted at FAccT
| Apr 2025 | Leading a workshop at COMPTEXT 2025 in Vienna |
| Mar 2025 | Teaching a course at the Centre for Excellence in the Social Sciences at the University of Warsaw |
| Feb 2025 | Invited talk at the Institute for Analytical Sociology in Norrköping |
| Feb 2025 | Invited to the Lorentz Center workshop on "Impressed by Reading: Measuring the Impact" in Leiden |
| Jan 2025 | Invited talk at the Interdisciplinary Institute for Societal Computing in Saarbrücken |
| Dec 2024 | Attending the Computational Humanities Research (CHR) conference in Aarhus |
| Oct 2024 | Invited talk at the Institute for Natural Language Processing at the University of Stuttgart |
| Oct 2024 | Invited talk at the Statistics Seminar at Uppsala University |
| Oct 2024 | Attending the conference for Danish Digitization, Data Science, and AI in Nyborg |
| Oct 2024 | Invited talk at the NLP Workshop at the Interacting Minds Center at Aarhus University |
| Sep 2024 | Attending the Humanities and AI Virtual Institute at Oxford |
Fall 2025: TBD
Winter 2023: NLP for Cultural Analytics (University of Washington, Linguistics)
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 was one of the lead organizers for AI for Humanists, a series of tutorials and workshops that guide interdisciplinary researchers in using large language models.
I’m the lead builder and maintainer for some cultural analytics tools: