👩‍💻Hello! I'm a researcher who works on NLP—the art of making computers understand and work with human language. Currently, I'm an Algorithm Developer at Hudson River Trading.
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I went to 
Stanford, where I was a music major (and finished a BS and MS in computer science on the side). I was part of the Stanford NLP Group, where I led the Chirpy Cardinal team, and was advised by Chris Manning and Monica Lam. I have also been at Google Research, Amazon AWS AI, and DE Shaw Research.
Broadly, my interests lie in speech recognition, dialogue systems, and efficient NLP.
🎻 I'm a concert pianist and organist (youtube channel).
🧩 I enjoy puzzling, especially linguistic puzzles. I've contributed to NACLO, the Asia-Pacific Linguistic Olympiad, and the MIT Mystery Puzzle Hunt.
Selected Publications
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A Linguistics Puzzles Dataset for Model Reasoning
under submission, NAACL 2024 (supervising author)
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Neural Generation Meets Real People: Building a Social, Informative Open-Domain Dialogue Agent
SIGDial 2022
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Align-Refine: Non-Autoregressive Speech Recognition via Iterative Realignment
NAACL 2021
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Deep Subjecthood: Higher-Order Grammatical Features in Multilingual BERT
EACL 2021
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Finding Universal Grammatical Relations in Multilingual BERT
ACL 2020
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GLARE: Generative Left-to-right Adversarial Examples
The 3rd Workshop on Evaluation & Comparison of NLP Systems, AACL 2022
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A ML algorithm can optimize the day of trigger to improve in vitro fertilization outcomes
Fertility and Sterility
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JAMA Network Open
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Fertility and Sterility