Bryan Wang

Bryan Wang is a research scientist at Adobe Research, focusing on advancing next-generation AI systems through Human-Computer Interaction (HCI) and Machine Learning (ML). He is committed to enhancing human capabilities in digital content creation, consumption, and interaction. His research spans video, audio, image processing, and user interface design, aiming to empower creative expression through generative AI tools. Bryan Wang earned his Ph.D. and M.Sc. in Computer Science from the University of Toronto, and his B.Sc. in Computer Science from National Taiwan University. His scholarly contributions have been published at premier conferences such as CHI, UIST, and IUI, and are frequently cited as field-defining works.

• Summer 2023·Meta Reality Labs - Research·Research Intern
  • Developed LAVE, a video editing tool powered by large language models (LLM), with related work published at IUI 2024.
• Summer 2022·Google Research·Student Researcher
  • Designed prompting techniques for mobile UI interaction, leveraging large language models for conversational interactions, published at CHI 2023.
• Summer 2021, Winter 2022·Adobe Research·Research Intern
  • Developed ROPE, a tool for automatic audio story editing using Natural Language Processing (NLP) technologies, published at UIST 2022.
• Summer 2020, Winter 2021·Google Research·Research Intern
  • Created a large-scale dataset of over 110,000 summaries and 20,000 UI data points, and trained multimodal networks for screen summarization, published at UIST 2021.

• 2018-2023·University of Toronto·Ph.D.
  • Research Focus: Human-Computer Interaction and Generative AI Systems
• 2016-2018·University of Toronto·M.Sc.
  • Research Focus: Digital Content Creation and Artificial Intelligence
• 2012-2016·National Taiwan University·B.Sc.
  • Major: Computer Science