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Primary interests:
ambient intelligence | multimodal interaction | personalized agents | ubiquitous computing
I am a doctoral candidate in HCI and computational design at Harvard University. My research focuses on multimodal and adaptive systems for ambient intelligence, with a focus on context-aware interaction, personalization, and closed-loop adaptation. My current doctoral work applies this approach to wearable systems for health and well-being and intelligent environments, including smart homes. I am interested in personalized agents that coordinate with people and other agents to support decision-making and intervention across everyday settings. Broadly, I am interested in extending these systems to emerging platforms and applications, and in studying how people interact with, understand, and experience them.
I received my MS from the Massachusetts Institute of Technology and a Bachelor's in Architecture with High Honors with Distinction from the Architectural Association. I have previously worked at Microsoft Research. SOSO and Inferstudio.
UPDATE
I have been selected as 1 of 4 inaugural Serpentine R&D Fellows from a pool of around 1,000 applicants worldwide [1] [2] [3]. During the fellowship, I will investigate the design and evaluation of human-AI interaction and collaboration, examining how it can support human agency and meaningful participation as AI systems take on more active roles in everyday life.
The cohort was selected by a jury comprising Google DeepMind COO Lila Ibrahim, Snap CEO Evan Spiegel, Refik Anadol, Cao Fei, and Holly Herndon.
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I enjoy designing and making hardware, devices, machines, and furniture, and have experience across these areas.
I’ve previously held appointments as a lecturer at RISD and Northeastern, teaching design engineering and interactive media at both the graduate and undergraduate levels.
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⌏features & recognitions⌌
