affective & ubiquitous computing ● ambient intelligence ● embedded system ● TinyML ● personalized adaptive control ● health & wellness tech-
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 Mass General Hospital/Harvard Medical School.
My research combines affective computing, machine learning, embedded systems to build closed-loop, personalized frameworks that model and respond to human cognitive and affective state. My current research applies these approaches to develop interventions for adaptive sensory stimuli and indoor environmental control to support cognitive function and mental well-being.
I work with multimodal physiological and behavioral data from wearable, non-contact, and environmental sensors. I apply time-series modeling and deep learning for state inference, and develop on-device reasoning architectures for autonomous closed-loop control. I prototype embedded systems and validate system performance through human-subject experiments, statistical analysis, and data-driven evaluation.
I received my MS from the Massachusetts Institute of Technology and received 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)
