I leverage mixed-methods and UX research principles to co-design with blind and low-vision (BLV) communities (and sometimes beyond), building and studying the tools researchers and everyday people rely on to make sense of data, and increasingly, AI. My work turns messy, real-world context into things people can actually use: accessible data-visualization systems, design approaches, and empirical evidence that shape how products get built and theory is refined. It lives at the intersection of accessibility and HCI, and shows up at venues like CHI and ASSETS, which you can find more about on my Research page.
Outside research: cats, cooking, and too many parentheticals — more on Life.
Latest
Internship · April 2026
Design Research Intern at Infosys
Mixed-methods research on last-mile delivery robots — who their signals and cues actually work for, and who they leave behind.
View experience →Publication · March 2026
AFB National Report on AI & Disability
Co-authored AFB's national report on AI benefits, risks, and user aspirations through a disability lens.
View publication [W1] →Publication · January 2026
New Paper Accepted to CHI 2026!
Knowledge production workflows re-imagined by, with, and for blind and low-vision researchers — now published at CHI 2026.
Read on ACM →