Kayo Yin is a PhD student at UC Berkeley advised by Jacob Steinhardt and Dan Klein. She currently works on LLM interpretability and NLP for signed languages. Before that, she was a Master's student at Carnegie Mellon University advised by Graham Neubig, and completed her undergraduate studies at École Polytechnique. Her research has been recognized by the ACL 2023 Best Resource Paper award, EMNLP 2022 Best Paper Honorable Mention award, ACL 2021 Best Theme Paper award, a Siebel Scholarship, the Thomas Clarkson medal, and the Vitalik Buterin Fellowship on AI Safety.
Unserious third-person bio
Kayo Yin is a PhD student at UC Berkeley, where she works on an ecletic mix of NLP research.
In her spare time she can be found playing music by dead composers and triggering mini avalanches while backcountry snowboarding.