I am a master’s student in Electrical Engineering at the University of Rhode Island. I work on machine learning for sensing human behavior and health, and on testing when those measurements can be trusted to drive decisions.

My thesis, Multimodal Characterization of Eating Microstructure for Closed-Loop Regulation, adapts vision-language models to measure bites from video and studies how detection errors change real-time eating-rate feedback. It is part of an NIH-funded project on diet, ingestion, and behavior sensing (DIBS), and I am extending it toward jaw and wrist sensing and multimodal fusion. I also work on synchronized EEG and motion capture for movement decoding. Earlier, I validated wearable inertial sensors against optical motion capture.

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