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

o January 2025: Components of Character accepted to the Journal of Data Mining and Digital Humanities.

o January 2025: But *How* Do They Use It? Scaffolding the Introduction of Generative AI Across the SLAC Curriculum was accepted to Innovations and Opportunities in Liberal Arts Computing Education at SIGCSE 2025

o January 2025: Perspective Shift with Korean Motion Verbs has been accepted to GLOW 47

o January 2025: Substance Beats Style accepted to NAACL 2025

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

o November 2024: AustenAlike 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 presented at OOPSLA 2024

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

o August 2024: StudentEval presented at ACL 2024

o August 2024: Two papers presented at the TeachNLP workshop at ACL 2024

o New preprint: GlyphPattern, a benchmark for abstract pattern recognition in VLMs