Welcome

I am an assistant professor of Computer Science at Wellesley College.

Research

My research focuses on the intersection of language, cognition, and computation.

Within computer science, much of my work focuses on evaluating large language models for natural language and code generation. What are the abilities and limitations of LLMs? Can LLMs help non-expert programmers? I study these questions from a variety of angles, including model development, benchmarking and evaluation, and human-computer interaction studies.

Within linguistics, I study how context-sensitive meaning is encoded in natural language. I build computational models to understand how conversation participants use knowledge about each other's mental states, and use psycholinguistic methods to understand how people select context-sensitive expressions.

News

o I'm on junior research leave F24-S25

o May 2025: GlyphPattern accepted to ACL Findings 2025

o May 2025: CRA white paper on The Future of Programming in the Age of Large Language Models published

o April 2025: “I Would Have Written My Code Differently” was accepted to the HumanAISE workshop at FSE 2025

o April 2025: Components of Character was published in the Journal of Data Mining and Digital Humanities

o March 2025: Effects of Text-Formatting on Speaker-Related Pragmatic Inferences was accepted to CLS 61

o March 2025: Perspective Shift with Korean Motion Verbs was presented at GLOW 47

o New preprint: PhD Knowledge Not Required: A Reasoning Challenge for Large Language Models

o January 2025: Substance Beats Style accepted to NAACL 2025

o December 2024: Anaphoric Relations and Quoting Out of Context was accepted to RED 2025 Conference

o November 2024: AustenAlike was presented at NLP4DH at EMNLP 2024

o November 2024: I spoke on World of Wellesley's panel discussion of Unmasking AI

o October 2024: MultiPL-T was presented at OOPSLA 2024

o October 2024: Can It Edit? was presented at COLM 2024