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I am a doctoral student at Harvard University working at Material Processes and Systems Group and Edge Computing Lab. I am also a research collaborator at Massachusetts General Hospital and Harvard Medical School.
My research combines machine learning, embedded intelligence, and multisensory integration to develop personalized closed-loop systems that infer cognitive and affective states and adaptively control multisensory stimuli and IEQ variables to support cognitive function and mental well-being.
I work across classical and deep learning methods, on-device ML systems + inference architectures for autonomous closed-loop control, and generative models for stimulus content. I incorporate causal inference to estimate effects under confounding, heterogeneity, and time-varying state. I am interested in how this work contributes to human factors and well-being technology, and informs the design of affect-aware intelligent systems.
I received my MS from the Massachusetts Institute of Technology and my Bachelor in Architecture, graduating with High Honors with Distinction from the Architectural Association in London.
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Outside research, I like to marinate in the shop space, making things.
i design and build devices, gadgets, and objects.
when i’m not doing that, i’m building machines and making furniture.
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selected recognitions & features (for individual projects only)
