Current research direction
Human-AI Collaborative Visual Analytics and Storytelling
We study how people and AI can work together to analyze, interpret, and communicate data. Our interests include interactive analytical tools, creative authoring environments, and the changing roles of people and automation. We aim to make these experiences useful and expressive while preserving human judgment and control.
- LLMs
- authoring
- human–AI interaction
- spec generation
- editor support
- co-creation
- responsible AI
Selected projects
Selected publications
Methods & ways to contribute
Research methods
- Wizard-of-Oz and co-creation workshops
- Think-aloud and cognitive walkthrough studies
- Longitudinal deployment and usage analysis
- Mixed-method human–AI evaluation
Relevant skills
- LLM API integration and prompting
- Retrieval-augmented generation (RAG) and evaluation
- Full-stack prototyping (React, Flask, PostgreSQL)
- Tool-use orchestration and agent design
- User telemetry and interaction logging
- Lightweight ML for structure and content extraction
- Interface design and iterative prototyping