I am a final-year PhD candidate in Computer Science in the Stanford NLP group. My research interest is in building language technologies that promote human agency and wellbeing. I develop computational methods for understanding and improving how people use LLMs, especially in subjective, high-stakes domains. I am advised by Dan Jurafsky and supported by the Knight-Hennessy Scholarship and the NSF Graduate Research Fellowship.

Contact

My email is myra [at] cs [dot] stanford [dot] edu.

Updates

July 2026: Presenting papers on understanding LLM safety failures using pragmatics, challenging anthropomorphic assumptions (orals), and broadening LLM research to non-adopters’ needs (poster) at ACL!

June 2026: In Seattle visiting Yulia Tsvetkov’s group at UW for the summer!

March 2026: Our work on AI sycophancy is the Science cover story!

June 2025: Our paper on how computer vision powers surveillance is out in Nature!

May 2025: Our work on social sycophancy is featured in MIT Technology Review!

May 2025: Two papers on measuring and mitigating anthropomorphic LLM outputs accepted to ACL 2025.

April 2025: Our paper on Using metaphors to understand public perceptions of AI accepted to FAccT 2025.

October 2024: Attending AIES.

October 2024: “I Am the One and Only, Your Cyber BFF”: Understanding the Impact of GenAI Requires Understanding the Impact of Anthropomorphic AI.