My research is guided by a vision of computing systems that recognize and serve human diversity: user needs vary across abilities, contexts, and situations, and even at different times of day for the same person—there isn't a one-size-fits-all solution that simply works for everyone. My research addresses the heterogeneity of human abilities and needs, and aims to answer the key questions of how technologies can recognize and respect human ability differences and enhance human agency and autonomy.

My research approaches these questions through three pillars of work: (1) Modeling Abilities: establishing quantitative understanding of varying human abilities by modeling multimodal interaction behavior, (2) Enabling Personalization: advancing human-AI systems that enable personalized interactions based on user abilities, leveraging machine intelligence while enhancing human agency and autonomy, and (3) Empowering Creation: lowering barriers to creating personalized, accessible interfaces through infrastructural support for design and development.