Hi! I am a first-year Information Science PhD student at the University of Washington, advised by Dr. Melanie Walsh.

Broadly, my research interests include natural language generation, user-LLM interaction, and AI policy. Specifically, my research centers on understanding how language models will impact literature and communication. I aim to evaluate LLM-generated texts, understand their societal impact, and propose how we might responsibly respond to this media.

Before UW, I was a post-baccalaureate research fellow at the University of Maryland, advised by Dr. Naomi Feldman. I’ve also had the opportunity to work with those from the Johns Hopkins Center for Natural Language Processing, Google, Laboratoire d’Informatique de l’Université du Mans (LIUM), and the Brown University Visual Computing Lab. I received my B.A. from Cornell University with honors for my thesis that examines generative AI’s impact on the literary tradition and the notion of authorship.

In my free time, I like to practice ballet, watch anime, travel, and learn new languages (currently, French).

news

🧠 April 2026: presenting work on AI-generated autobiographies at the inaugural Intelligence & Imitation Workshop

✏️ April 2026: first first-author paper on LLM gender bias in talking animal stories accepted to FAccT 2026!

🍎 October 2025: teaching at UW Continuum College for AU25

🐺 April 2025: accepted PhD offer from UW iSchool!!

🐢 August 2024: starting Baggett Fellowship at UMD