
Junhan "Judy" Kong is a final-year Ph.D. candidate in the Information School at the University of Washington, advised by Prof. Jacob O. Wobbrock. Prior to that, she received her Bachelor's and Master's degrees in Computer Science with an additional major in Human-Computer Interaction and minors in Statistics and Machine Learning at Carnegie Mellon University, where she worked with Prof. Jeffrey P. Bigham and Prof. Anhong Guo. She has also worked at Adobe Research and Meta Reality Labs as a research scientist intern.
Her research is in human-computer interaction (HCI) with a focus on accessibility, interaction techniques, adaptive interfaces, AR/VR, and human-centered AI. Her work has been published at top-tier conferences including CHI, UIST, ASSETS, MobileHCI, and SUI, and has received the Best Paper Award from MobileHCI and a Best Paper Nomination from ASSETS.
Her research is guided by a vision of computing systems that recognize and serve human diversity: technologies that understand and adapt to the varying situated abilities of their users, and infrastructures that empower designers and developers to create accessible and personalized interfaces.
Xiyuan Shen*, Seokhyun Hwang*, Junhan Kong, Alexandre L. S. Filipowicz, Andrew Best, Jean M. Costa, Scott Carter, James Fogarty, Jacob O. Wobbrock
UIST 2025
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