- Formal Language Recognition by Hard Attention Transformers: Perspectives from Circuit Complexity, TACL, 2022
- Verb Conjugation in Transformers is Determined by Linear Encodings of Subject Number, EMNLP Findings, 2023
- What Goes Into a LM Acceptability Judgment? Rethinking the Impact of Frequency and Length, NAACL, 2025
- Generative Linguistics, Large Language Models, and the Social Nature of Scientific Success, Italian Journal of Linguistics, 2025
- ModelCitizens: Representing Community Voices in Online Safety, EMNLP, To Appear
Recent Invited Talks:
- Towards a Science and Mathematics of Language Models, Mathematics of Language Conference, 2025
- Word Embeddings: Examining Culture Through a Data-Driven Lens, Vanderbilt University Department of English, 2024
- Transformers and Circuit Complexity, Flatiron Institute Center for Computational Mathematics, 2023
- Understanding RNNs and Transformers using Formal Languages, ETH Zürich Department of Computer Science, 2022; University of Notre Dame Department of Computer Science, 2022
Research Experience
Assistant Professor, Boston University, 2025–present
Assistant Professor/Faculty Fellow, New York University, 2022–2025
With Tal Linzen, Sunoo Park, and others
Natural Language Machine Learning Intern, Apple, Summer 2021
With Hadas Kotek, David Q. Sun, and others
Visiting Researcher, National Institute of Informatics, Summer 2017
With Makoto Kanazawa, Ryo Yoshinaka, and others
Software Developer, Epic, 2015–2016
Sales and Trading Intern, Wells Fargo Securities, Summer 2014
Market Research Intern, Networked Insights, Summer 2012
Education
PhD in Linguistics and Computer Science, Yale University, 2022
Advisors: Dana Angluin and Bob Frank
Committee: Yoav Goldberg, John Lafferty, Jason Shaw
BA in Mathematics and Linguistics, University of Chicago, 2015
Advisor: Greg Kobele
Background
Interests include but are not limited to: probing, neural representations, feature attribution; linguistic evaluation and psycholinguistic modeling; theory of computation, analysis of neural architectures; generative linguistics, syntax, phonology, mathematical linguistics; bias, fairness, digital humanities and social science; theoretical foundations of NLP and computational linguistics.
Miscellany
Personal interests and other information are not explicitly mentioned on the webpage.