Kate Glazko
University of Washington
Kate Glazko is a Ph.D. student in the Allen School of Computer Science and Engineering at the University of Washington,Seattle. Kate is part of the Make4All lab, studying the use of Generative AI tools for creating novel opportunities foraccessibility in domains where there are limited solutions, such as design for fabrication, and the risks and harms ofreal-world GAI use to people with disabilities. Kate identifies as neurodivergent and disabled.
Mina Huh
University of Texas at Austin
Mina Huh is a Ph.D. student in the Department of Computer Science at The University of Texas at Austin. Throughher work, she explores how GAI-powered tools can empower BVI creators in visual content creation and evaluates howemerging GAI technologies such as large vision-language models either support or fail to meet the needs of BVI user toequalize the benefit of such models. In her research, she conducts need-finding studies and evaluations with end userswith disabilities to ensure her systems address core accessibility challenges in effective ways.
Jazette Johnson
University of Washington
Jazette Johnson is a postdoctoral scholar at the Paul G. Allen School of Computer Science and Engineering at theUniversity of Washington. Her research bridges human-computer interaction and accessibility, focusing on the design ofonline social support systems for vulnerable communities. Currently, she investigates the risks posed by Generative AI,specifically misinformation, and its impact on people with disabilities. Jazette’s work aims to inform ethical guidelinesand inclusive AI design to ensure equitable access and safety for underrepresented populations.
Amy Pavel
University of Texas at Austin
Amy Pavel is an Assistant Professor in the Department of Computer Science at The University of Texas at Austin(Main contact person). As a systems researcher in Human-Computer Interaction and Accessibility, she focuses on embedding machine learning technologies, such as Natural Language Processing, into new human interactions, which are then deployed for testing. Her systems enable remote content creators to collaborate more effectively, assist video authors in efficiently creating accessible descriptions for blind users, and support instructors in helping students learn and retain key concepts. To inform the design of future systems that capture the needs of domain experts and people with disabilities, she conducts and collaborates on in-depth qualitative studies, co-design processes, and quantitative studies. Her research goal is to enhance communication, making it both effective and accessible.
Jennifer Mankoff
University of Washington
Jennifer Mankoff directs the Center for Research and Education on Accessible Technology and Experiences and is a Professor in the Paul G. Allen School of Computer Science and Engineering at the University of Washington. Her research is focused on accessibility through giving people the voice, tools and agency to advocate for themselves; and she herself identifies as disabled. She strives to bring both structural and personal perspectives to her work. For example, her recent work in fabrication of accessible technologies considers not only innovative tools that can enable individual makers but also the larger clinical and sociological challenges to disseminating and sharing designs. Her recent work has focused on accessibility in domains such as AI and fabrication.
