About me
Ph.D. candidate in Computational Linguistics at UPenn (B.S./M.Eng. EECS, MIT), working on data-efficient, linguistically informed methods for speech and language processing, with applications to under-resourced settings and the interpretability of speech and language models. My applied background includes patented explainable-AI systems, NLP solutions deployed to the U.S. Department of Defense, and peer-reviewed publications across computational linguistics and speech venues.
What I do
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Speech & Language Processing
Data-efficient, linguistically informed methods for speech segmentation and representation.
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Technical AI Safety
Mechanistic interpretability and explainable-AI solutions where deployed AI systems need to be reliable and predictable.
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Computational Linguistics
Computational methods for the linguistic analysis of both language models and the linguistic environments where they are deployed.
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AI/ML Engineering
Production-grade ML and patented commercial AI products, including NLP systems deployed for the U.S. Department of Defense.
