About
I am a social scientist of human-computer interaction, exploring distributed team collaboration and AI workflows at Microsoft Research. I work in Brisbane, Australia, reporting to the Cambridge UK Lab.
I have recently started work on Project Provenance, which explores how people understand and use signals about the origin and history of digital content.
I previously lead the Intentional Meetings project and co-lead the Tools for Thought project.
I have been a member of a multiple global prize-winning Hackathon teams at Microsoft (A Grand Prize winning project, five global category First Place projects, and one global category Second Place project in the annual Microsoft Hackathon). One of these Hackathon projects is on the Garage Wall of Fame: Mobile Sharing and Companion Experiences for Microsoft Teams Meetings. This was the first prize winning project that I was on, and it became a feature in Microsoft Teams. From a more recent Hackathon, we open-sourced Promptions (opens in new tab), a simple dynamic prompt middleware UI for AI that helps users steer their AI, customizing their outputs by suggesting parameterized choices in the form of dynamically generated UI components.
I have been a PC member of CHI and CSCW many times and I review for many major HCI, communication, and technology journals and conferences.
Featured Content
Project Provenance
Project Provenance focuses on how people understand and use signals about the origin and history of digital content. We aim to make provenance information more accessible, meaningful, and actionable.
Stund: Activity-Enriched Collaborative Workspaces Mediated by Artificial Intelligence
Time is a second-class citizen in most collaborative software. Stund is an AI activity-enriched collaborative workspace where all activities leave traces that can become tools in the workflow.
Nudging Attention to Workplace Meeting Goals: A Large-Scale, Preregistered Field Experiment
We tested a lightweight goal-reflection intervention in a preregistered field experiment in a global technology company (361 employees, 7196 meetings).
Goals as First-Class Abstractions in Human-AI Collaboration
We argue that goals should be encoded as first-class abstractions that drive human-AI collaborative workflows and that generative AI’s natural-language capabilities make this a uniquely opportune moment.
AI and Intentional Meetings
We aim to help organizations develop a goal-oriented meeting lifecycle that leverages Generative AI to construct dynamic goal-driven interfaces that adapt to organizational and team tasks and contexts.
Tools for Thought: Better Thinking with AI
Much AI research focuses on solving specific tasks for people – generating content or automating processes. While such systems may be powerful, there are risks that this approach impact the way people think and therefore learn, build skills, and deploy expertise. The Tools for Thought (T4T) team aims to help researchers and developers imagine how AI might help people to think better.
Promptions helps make AI prompting more precise with dynamic UI controls
Promptions is a dynamic UI middleware framework that automatically generates contextual controls — radio buttons, checkboxes, toggles, text fields — to help users steer generative AI responses with precision