About me
PhD researcher in Computational Linguistics at UPenn with a B.S./M.Eng. in EECS from MIT, specializing in deep learning and natural language processing. My research bridges insights from human language acquisition and representation learning to develop data-efficient speech and language systems.
I have industry experience with patent-backed, client-facing explainable AI systems and NLP pipelines deployed to the U.S. Department of Defense, alongside a strong publication record (BlackboxNLP, GenBench) and a proven track record of building scalable, production-ready ML systems.
What I do
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Natural Language Processing
Customized data analysis and natural language processing pipelines including OpenAI Assistant API integration.
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LLM Benchmarking
In-depth linguistic evaluation of Large Language Models in comparison to traditional, statistical language models and human judgement data.
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Linguistic Analysis
Application of multiple levels of linguistic analysis, including Pragmatics, Syntax, and Phonology; from different perspectives such as Theoretical, Historical, and Computational Linguistics.
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Phonetics & DSP
Large scale digital signal processing (DSP) and acoustic analyses of speech databases to attest scientific hypotheses, answer theoretical questions or discover patterns in the data.