Research
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’m interested in using computational methods to study stories, healthcare, and online communities and in measuring the reliability of NLP tools when used for social datasets and human research questions.
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.
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
| July 2023 | Presenting our demo for Riveter at ACL in Toronto |
| June 2023 | Co-organizing a tutorial at FAccT in Chicago |
| April 2023 | Invited to speak and run an interactive session at the AAMC Maternal Health Equity Workshop |
| April 2023 | Invited to speak at the Computational Formalism Workshop at Dartmouth |
| April 2023 | Attending the Narrative Medicine Workshop at Columbia |
| Jan 2023 | Teaching NLP for Cultural Analytics at UW Linguistics |
| Oct 2022 | Presenting a poster at Text as Data (TADA) in NYC |
| Sept 2022 | Invited to speak at the McGill Narrative & Society Conference in Montreal |
| Sept 2022 | Speaking virtually at the Monash-Warwick-Zurich Text-as-Data Workshop |
| July 2022 | Invited to speak at the Workshop on Narrative Understanding at NAACL 2022 |
| Jun 2022 | Visiting ETH Zurich as a Summer Fellow with Elliott Ash's group |
Teaching, outreach, and resources
I taught NLP for Cultural Analytics for the Linguistics departement 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, Bell Labs, and the popular NLP+CSS 201 tutorial series. I’ve also taught similar public-facing courses for the Hertie School in Berlin and the Brown Institute at Columbia.
I’m a builder and maintainer for some cultural analytics tools:
- Little Mallet Wrapper (a Python wrapper around the topic modeling library MALLET)
- Goodreads Scraper (automated collection of Goodreads book reviews)
- Riveter (a tool to measure connotation frames via verb lexicons)
Media
- Interviewed by Chris Potts (Stanford NLP) on his podcast about NLP, novels, the digital humanities, Ukraine, and more
- Featured on the Diaries of Social Data Research podcast by Katherine Keith and Lucy Li about my work modeling birth stories
- Interviewed by the University of Notre Dame about my career path from the humanities
Other things
- I’m the founder and former President of Grads for Gender Inclusion in Computing at Cornell.
- My family is Ukrainian, and I spent a year teaching at the Ukrainian Catholic University in Lviv. Please consider taking action to support safety and freedom in Ukraine 🌻
- In undergrad, I studied in the Program of Liberal Studies, a set of tutorials and seminars in the humanities, at the University of Notre Dame. I’m always happy to receive emails from students who are interested in transitioning from the humanities to technology.
- No relation (as far as I know) to the other Antoniak interested in the Dirichlet distribution.
- books books books