Lotus Zhang is a mixed-methods researcher and PhD candidate in Human-Computer Interaction with 18 years of experience blending academic rigor and industry impact across accessibility, AI, and UX. At the University of Washington she focuses on accessibility for Blind and low-vision content creators, co-creating AI-assisted tools through iterative prototyping and usability testing. Her internships at Google, Facebook, and Microsoft Research shaped company-wide survey standards and explored generative AI and content moderation, demonstrating a knack for translating research into product decisions. Comfortable with quantitative and qualitative methods, Lotus also brings hands-on prototyping experience (Arduino, Python, JavaScript) from robotics and mixed-reality projects. She pairs deep domain expertise with a pragmatic drive to make creative tools more inclusive—often surfacing needs that product teams hadn’t anticipated.
17 years of coding experience
3 years of employment as a software developer
Bachelor of Arts (B.A.), Computer Science and Psychology, Bachelor of Arts (B.A.), Computer Science and Psychology at The University of British Columbia
Doctor of Philosophy - PhD, Human Computer Interaction, Doctor of Philosophy - PhD, Human Computer Interaction at University of Washington Human Centered Design & Engineering
Master's degree, Human Centered Design & Engineering, Master's degree, Human Centered Design & Engineering at Univeristy of Washington
Oculus Voice SDK showcase demonstrating the use of Voice SDK in Unity. This project contains the source code for the "Whisperer" demo available on App Lab. The Oculus SDK and other supporting material is subject to the Oculus proprietary license.
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