I’m a fourth-year undergraduate at Rice University studying Computer Science and Cognitive Science. My current research lies at the intersection of Human-Robot Interaction (HRI), accessibility, and care.

I currently work with Dr. Vaibhav Unhelkar in the Human-Centered AI and Robotics Group, studying how formal and informal caregivers trust robots and perceive robot errors—toward designing systems better suited to caregiving contexts. I also collaborate with Dr. Mike Byrne in the Computer-Human Interaction Lab, on computational modeling to detect interface biases by studying visual grouping and the impact of AI on information gathering. In the Perception and Action Lab with Dr. Patricia DeLucia, I focus on data analysis exploring how drivers perceive their environments and make decisions.

Previously, I worked with Dr. Maya Cakmak through the DUB REU program at the University of Washington, where I developed a shared autonomy system using end-user programming to enable more personalized robot interactions.

I’m interested in context-aware human–robot and human–AI interaction (HRI/HAI), with a focus on algorithmic and system design that accounts for sociocultural factors and digital literacy. My research aims to enhance support for caregivers and increase agency for users with long-term care needs. I take an interdisciplinary approach that draws on critical studies, sociology, and participatory methods to center lived experience in the design of intelligent systems.