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.

Previously, I did my undergraduate at Caltech, where I double-majored in computer science and history. I’ve also spent time at Microsoft Research (on the FATE team with Alexandra Olteanu and Su Lin Blodgett, and with Adam Kalai) and DeepMind.

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.