Skip to main content
Omar Khan

Omar Khan

Mixed-methods HCI researcher who builds and evaluates accessible AI systems

PhD candidate at UIUC · accessibility + human-AI interaction

I co-design with blind and low-vision (BLV) communities to build and evaluate the tools people rely on to make sense of data — and, increasingly, AI. I turn messy, real-world context into things people can actually use: accessible data-visualization systems, design guidelines, and empirical evidence that shape how products get built. My work shows up at venues like CHI and ASSETS — more on my Research page.

Outside research: cats, cooking, and too many parentheticals — more on Life.

Latest

Internship · April 2026

Design Research Intern at Infosys

Ongoing since June 2026: 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
View all news →

© 2026 Omar Khan. All rights reserved.