Research Areas

Explores how software engineers with ADHD utilize co-presence practices (body doubling and pair programming) to manage cognitive demands. We map these experiences to co-presence theory and provide design recommendations for AI tools that support inclusive workplace collaboration.

Investigates "vibe coding"—an emerging natural language programming paradigm prioritizing flow and experimentation over strict specification. We examine how AI trust influences developer delegation vs. co-creation and surface key trade-offs in reliability, debugging, and collaboration.

Evaluates a 60-minute designathon at CHI 2026 where 100+ attendees built and deployed websites using generative tools like V0 and Lovable. We analyze how generative AI blends traditional design and development workflows into a single prototyping process.

Evaluates a post-hoc video processing system that chunks instructional videos into single steps with fixed pauses to lower cognitive load. A study with 27 participants showed that the intervention significantly reduced errors and hesitations for learners with ADHD.

Reflects on how a 5-member mixed-ability research team adopts generative AI in daily academic workflows. We present recommendations for balanced AI adoption that respects disability identity, manages disability tax, and preserves researcher agency.

Presents preliminary insights from a 14-year autoethnography examining workplace communication barriers for a professional with ADHD and chronic illness. Introduces "Mail++", a customized workflow for managing executive function challenges and health flares.