I work on human-robot interaction and human-computer interaction. I take a community-centered approach to developing embodied AI systems for people’s well-being: I co-design systems with domain experts and end users, then study them in real-world environments.
I am a PhD candidate in Computer Science at Johns Hopkins University, advised by Chien-Ming Huang. Before Hopkins, I studied computer science at the University of Rochester with Ehsan Hoque and Zhen Bai.
Working with older adults, families, and domain experts to understand their needs, translate them into robot form and behavior, and deploy the resulting robots in homes.
Using language models to generate context-aware facial expressions, handle interruptions in conversation, and co-create visual stories.
Low-cost, open-source robots that are easier to reproduce, modify, and deploy, and speculative prototypes that explore plants as metaphoric inspiration for HRI.
A US$50,000 grant through the Baltimore Innovation Initiative. This work has also been supported by an O’Shaughnessy Ventures Fellowship and the Johns Hopkins Graduate Entrepreneurship Award (2026).
10 undergraduate and 6 graduate students mentored at Johns Hopkins.