I'm a postdoctoral scholar at University of California, Irvine, advised by Anne Marie Piper. I develop Accessible Workplace Infrastructures, which integrate recent AI and ML advances into novel systems that enable more equitable workplace
interactions for blind people.
I completed my Ph.D. in Technology and Social Behavior (TSB) at Northwestern University, advised by Haoqi Zhang and Darren Gergle. My dissertation developed Situated Practice Systems that support workers in understanding and developing the effective work practices for self-directing their work process, not just work tasks and progress. Unlike existing work in CSCW that has largely focused on providing task support in the workplace, Situated Practice Systems provide a critical missing layer of practice support that helps workers understand how issues in their existing practices are preventing work progress and facilitate opportunities in which workers can attempt an effective practice. To enable such systems, the core technical contribution I introduce are abstractions in machine systems that model the situated practices people enact in a workplace, which help workers manage the complexity of specifying to a system how they want it to track and surface tailored practices to workers in the relevant contexts across a workplace (e.g., at weekly planning meetings).
My work draws from the fields of Human-Computer Interaction (HCI), Social Computing, the Learning Sciences, Management and Organizational Sciences, and Artificial Intelligence. Throughout my work, I take a mixed-methods approach, including design research, UX methods (e.g., ethnography, large-scale surveys, prototype testing, etc.), and qualitative (e.g., thematic analysis) and quantitative analysis (e.g., factor analysis, regression, multilevel models). I also take a socio-technical approach to system design, where I consider how new technologies reflect an organization’s work processes and social structures, and study how they are affected by the introduction of the technology.