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I am a doctoral student in the Edge Computing Lab and the CGBC at Harvard University. I am also research affiliate in the Patel’s Lab, DBMI Harvard Medical School.
My research focuses on proactive, personalized multimodal agents and adaptive systems for ambient intelligence: systems that coordinate with people and other agents to support decision-making and intervention in everyday settings. My current work applies this research to wearables and the home, asking how our everyday living settings can move from smart, rule-based automation to an intelligent environment that proactively supports health and well-being.
Broadly I’m interested in how AI systems that sense and act in the physical world can be designed to work well with people, informed by how people interact with, understand, and experience them.
I have an MS in Computational Design from the Massachusetts Institute of Technology and a Bachelor's in Architecture, focusing on building science and technology from the Architectural Association where I graduated with High Honors with Distinction. I have worked at Mass General Hospital (Psychiatry), Microsoft Research, SOSO and Inferstudio.
Recently:
I have been selected as one of four 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 like making hardware interfaces, whimsy devices, machines, and furniture, and have years of experience across these areas.
I’ve previously held appointments as a lecturer at RISD (graduate-level course in design engineering, digital media) and Northeastern (capstone project course for CS, MechEng, Design)
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