Undergraduate Researcher — Speech Development
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Developing transformer-based ML algorithms in PyTorch to
extract child-directed speech from 300+ twelve-hour audio
recordings of 130 children (ages 3–5), generating clinically
relevant insights into early language acquisition.
Undergraduate Researcher — NLP & Speech Neuroprosthesis
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Developing transformer models with self-supervised learning on
intracranial neural data to investigate how the brain processes
language, toward clinically viable speech neuroprostheses.
Justice, Equity, Diversity & Inclusion Director
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Taught 50+ underserved middle-school students core CS concepts
in Python, and hosted allyship spaces promoting diversity and
inclusion in CS.
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Implemented and instructed a 6-week quantum computing course at
UCLA with 25+ undergraduate and graduate attendees.