About

I am a Ph.D. candidate in the School of Information at the University of Michigan, where I am advised by Dr. Robin Brewer and Dr. Sarita Schoenebeck. I work towards a future where disabled people have agency and control over their data. Specifically, my research outlines a disability-centric responsible AI practice by reimaging privacy and transparency techniques in visual assistance technologies.

My work draws from disability studies and disability justice to examine the possibilities and limitations of emerging AI technologies for managing privacy and enhancing transparency. Through in-depth qualitative research, I explored blind people’s perspectives on AI-enabled techniques to detect and redact private content. I found that while blind people recognize potential benefits, they desire greater control over what constitutes as private and are concerned about errors that may be challenging to detect. To design for non-visual transparency, I conducted an interview study to understand how blind people detect and resolve AI errors in their everyday lives. My ongoing work seeks to co-design transparency techniques in emerging AI-enabled privacy tools. I do this research in pursuit of designing AI futures with disabled communities.

I interned at Microsoft Research with the Ability team and at Meta with the Responsible AI team. Prior to graduate school, I obtained my Bachelor of Science degree in Mechanical Engineering (minor in Ethnic Studies) at the University of California, San Diego.

Personal website

CV

Dissertation title

Reimagining Privacy and Transparency in Visual Assistance Technologies with Blind People

Fields of interest 

Accessibility; human-computer interaction (HCI); disability studies; responsible AI

Education

Bachelor of Science in Mechanical Engineering, University of California, San Diego, 2020