I design systems that help people think — making information more accessible, more navigable, and more useful.

Currently

I’m a Senior Research Scientist at Adobe Research specializing in Human-Computer Interaction (HCI). I study how people make sense of complex information and design technology that can meaningfully support that process. My work was recognized with Adobe’s Tech Excellence Award for my contributions to AI product development and evaluation.

Research Highlights

AI-Augmented Sensemaking

Studying how knowledge workers reason and make sense of information through human-AI collaboration.

• Augmenting Expert Cognition in the Age of Generative AI
• From Conversation to Human-AI Common Ground
• Interview-Informed Generative Agents for Product Discovery

Document Intelligence & Interaction

Building interactive and AI-powered systems that help people navigate, extract, and act on documents and collections.

• Marco: Supporting Business Document Workflows
• ATLAS: A System for Human Interaction Data Collection
• Question Answering over Long, Structured Documents

Accessible & Multimodal Interaction

Making information accessible and perceivable across modalities, with a focus on inclusive and born-accessible design.

• An Opportunity for Creating Born-Accessible Documents
• Making nonvisually: Lessons from the field
• Accessible Data Visualization Through Audio Data Narratives

See my full list of publications .

Previously

I completed my PhD at Stanford University’s shape lab and HCI Group , where I built accessible tools for people with disabilities — making information perceivable through touch, sound, and other modalities. I’ve also worked at Microsoft Research and HP Labs. Watch an interview showcasing my work.

At Stanford, I taught courses on design thinking, accessibility, and smart product design. My research was featured in Fast Company , TechCrunch , The Wall Street Journal , Gizmodo , Core77 , and the National Science Foundation’s Science Now series.