
I am a Research Scientist at Adobe Research.
My research centers on human-AI interaction, with a focus on advancing the next generation of AI systems that empower and inspire creative expression. I design, develop, and study interactive AI systems that enhance human capabilities in creating, consuming, and interacting with digital content—particularly in video and audio.
Recent highlights include early work on video editing agents, mobile UI agents, and prompt writing with LLMs for image generation.
I received my Ph.D. and M.Sc. from the University of Toronto, where I was advised by Tovi Grossman, and my B.Sc. from National Taiwan University.
News
Sept. 2024
Started at Adobe Research
Done with my PhD, moved from Toronto ⛄ to Seattle 🌧️ and started as a Research Scientist at Adobe Research in the STORIE Lab.
Publications

ACM CHI 2025
GazeNoter: Co-Piloted AR Note-Taking via Gaze Selection of LLM Suggestions to Match Users' Intentions
Hsin-Ruey Tsai, Shih-Kang Chiu, Bryan Wang

EMNLP, Findings Track 2023
A Zero-Shot Language Agent for Computer Control with Structured Reflection
Tao Li, Gang Li, Zhiwei Deng, Bryan Wang, Yang Li

ACM UIST, Doctoral Symposium 2023
Democratizing Content Creation and Consumption through Human-AI Copilot Systems
Bryan Wang
Press
University of Toronto Magazine, April 2024
MarkTechPost, Feb. 2024
Revolutionizing Video Editing: How LAVE and AI are Democratizing Creative Expression
Google AI Blog, May. 2023