Bryan Wang

Summary

Experience

• Research Scientist · Adobe Research

  2024 to Present

  Leading 0→1 research on AI creative tools, from problem framing to prototyping and shipping, in close collaboration with Product, Design, and Engineering.

  • Led Precision Flow and contributed to Generate Soundtrack, both shipped in Adobe Firefly
  • Mentored 4 PhD interns, published 6 peer-reviewed papers, and filed 3 patents

• Research Intern · Meta Reality Labs - Research

  Summer 2023

  Created LAVE, an LLM-powered video editing agent that plans, searches, and edits footage through natural conversation.

• Student Researcher · Google Research

  Summer 2022

  Among the first to show LLMs could enable conversational interaction with GUI through prompting alone, no task-specific training required.

• Research Intern · Adobe Research

  Summer 2021, Winter 2022

  Built ROPE, an NLP-driven tool that automatically condenses voice recordings into social-media-ready audio stories while preserving narrative flow.

• Research Intern · Google Research

  Summer 2020, Winter 2021

  Created a 110K-summary, 22K-screen multimodal dataset and trained vision-language models to automatically summarize mobile UIs.

Shipped Products

• Precision Flow · Adobe Firefly · Research Lead (0→1)

  2026

  A Firefly image editing feature that renders every edit as a continuous spectrum. Glide a slider from A to B and land anywhere in between.

• Generate Soundtrack · Adobe Firefly · Contributor

  2025

  A Firefly audio tool that generates commercially-safe instrumental soundtracks from a text prompt or video. Music that fits your footage, automatically.

Selected Publications

1,400+ citations · h-index 16 · See full list on Google Scholar.

• Vidmento: Creating Video Stories Through Context-Aware Expansion With Generative Video

  CHI 2026

  Catherine Yeh, Anh Truong, Mira Dontcheva, Bryan Wang

• VidTune: Creating Video Soundtracks with Generative Music and Contextual Thumbnails

  CHI 2026

  Mina Huh, Ailie C. Fraser, Dingzeyu Li, Mira Dontcheva, Bryan Wang

• MapStory: Prototyping Editable Map Animations with LLM Agents

  UIST 2025

  Aditya Gunturu, Ben Pearman, Keiichi Ihara, Morteza Faraji, Bryan Wang, Rubaiat Habib Kazi, Ryo Suzuki

• LAVE: LLM-Powered Agent Assistance and Language Augmentation for Video Editing

  IUI 2024

  Bryan Wang, Yuliang Li, Zhaoyang Lv, Haijun Xia, Yan Xu, Raj Sodhi

• Promptify: Text-to-Image Generation through Interactive Prompt Exploration with Large Language Models

  UIST 2023

  Stephen Brade, Bryan Wang, Mauricio Sousa, Sageev Oore, Tovi Grossman

• Enabling Conversational Interaction with Mobile UI using Large Language Models

  CHI 2023

  Bryan Wang, Gang Li, Yang Li

• Soloist: Generating Mixed-Initiative Tutorials from Existing Guitar Instructional Videos Through Audio Processing

  CHI 2021

  Bryan Wang, Meng Yu Yang, Tovi Grossman

Education

• Ph.D. in Computer Science · University of Toronto · Advisor: Tovi Grossman2024

  Thesis: Human-AI Systems for Creating, Consuming, and Interacting with Digital Content

• M.Sc. in Computer Science · University of Toronto · Advisor: Tovi Grossman2020
• B.Sc. in Computer Science · National Taiwan University2018

Selected Honours

• Jazzki Human-Machine Creativity Award, First Place · SynthScribe2024
• Wolfond Scholarship · University of Toronto · $5,000 CAD2023 to 2024
• DiDi Graduate Student Award in Computer Science · University of Toronto · $10,000 CAD, two years2021 to 2023
• Apple AI/ML Fellowship Nominee · University of Toronto · one of three at the school2022

Skills

Research Areas

Human-AI Interaction · Interaction Design · Creativity Support Tools · Video & Audio Production · LLM Agents & UI Automation

Engineering

Python · TypeScript / React / Next.js / CSS · PyTorch · LLM tooling