• I am a doctoral student in computational design at Harvard University, working at Material Processes and Systems Group and Edge Computing Lab. I also work as a machine learning researcher at Mass General Brigham (MGH Psychiatry).

    My research focuses on the design of personalized closed-loop systems that combine multimodal sensing and context-aware inference of human states with adaptive control of multisensory stimuli and indoor environmental quality (IEQ) variables to support occupants’ mental well-being, including stress regulation, cognitive function, and comfort.

    My work combines signal processing, machine learning, and generative models with the design and prototyping of embedded, on-device intelligent systems on the scale of physical products and built environments. To evaluate these systems in human-subject studies, I draw on experimental design and causal inference to estimate effects in the presence of confounding, heterogeneity, and time-varying states. Through this work, I aim to contribute to human factors, well-being technologies, and the design of affective computing systems.

    I received my MS from the Massachusetts Institute of Technology and Bachelor in Architecture with High Honors with Distinction from the Architectural Association in London.

  • 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.

  • instagram: @outerprobe

    youtube:@outerprobe

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⌏selected recognitions & features, for individual projects only