Sangho Suh


40 St George St

Toronto, ON M5S 2E4

I am a Postdoctoral Fellow in the Dynamic Graphics Project (DGP) Lab at the University of Toronto working with Tovi Grossman. Before joining DGP, I was a Postdoctoral Scholar in the Design Lab and Creativity Lab at the University of California, San Diego working with Haijun Xia. I earned my Ph.D. in Computer Science from the University of Waterloo where I was advised by Edith Law.

My research focuses on inventing novel interaction techniques and interfaces for AI and developing innovative educational tools. Specifically, I am passionate about developing techniques and tools that enable us to think, design, learn, and communicate in new and more powerful ways.

If you want to discuss collaboration opportunities, feel free to get in touch! (sangho at

Research Interests: Human-Computer Interaction, Human-AI Interaction, Educational Technology, Creativity Support, Computational/Systems Thinking

Dec. 12, 2023 ~ Jan. 10, 2024 @ Korea
- Dec. 14 ~ 15 @ KAIST
- Dec. 20 @ NAVER

news [archive]

Nov 22, 2023 I am giving a talk at KAIST (Dec. 15) and Naver (Dec. 20).
Oct 9, 2023 After a wonderful year at the Design Lab and Creativity Lab @ UC San Diego, I am joining DGP Lab @ University of Toronto as a Postdoctoral Fellow.
Aug 9, 2023 Talk @ Microsoft Research, Cambridge - “Sensecape: Enabling Multilevel Exploration and Sensemaking with Large Language Models”
Aug 4, 2023 “Sensecape: Enabling Multilevel Exploration and Sensemaking with Large Language Models” is accepted at UIST 2023!
Apr 28, 2023 “Metaphorian: Leveraging Large Language Models to Support Extended Metaphor Creation for Science Writing” is accepted at DIS 2023!

selected publications [full list]

  1. luminate.jpg
    arXiv 2023
    Structured Generation and Exploration of Design Space with Large Language Models for Human-AI Co-Creation
    Sangho Suh, Meng Chen, Bryan Min, Toby Jia-Jun Li, and Haijun Xia
  2. sensecape.png
    UIST 2023
    Sensecape Enabling Multilevel Exploration and Sensemaking with Large Language Models
    Sangho Suh, Bryan Min, Srishti Palani, and Haijun Xia
  3. metaphorian.png
    DIS 2023
    Metaphorian Leveraging Large Language Models to Support Extended Metaphor Creation for Science Writing
    Jeongyeon Kim, Sangho Suh, Lydia Chilton, and Haijun Xia
  4. codetoon.png
    UIST 2022
    CodeToon Story Ideation, Auto Comic Generation, and Structure Mapping for Code-Driven Storytelling
    Sangho Suh, Jian Zhao, and Edith Law
  5. privacytoon.png
    DIS 2022
    🏅 Best Paper Honorable Mention
    PrivacyToon Concept-driven Storytelling with Creativity Support for Privacy Concepts
    Sangho Suh, Sydney Lamorea, Edith Law, and Leah Zhang-Kennedy
  6. gen_ai.png
    IUI 2022 Demonstration
    Leveraging Generative Conversational AI to Develop a Creative Learning Environment for Computational Thinking
    Sangho Suh, and An Pengcheng
  7. using_comics.png
    SIGCSE 2021
    Using Comics to Introduce and Reinforce Programming Concepts in CS1
    Sangho Suh, Celine Latulipe, Ken Jen Lee, Bernadette Cheng, and Edith Law
  8. codingstrip.png
    VL/HCC 2020
    Coding Strip A Pedagogical Tool for Teaching and Learning Programming Concepts through Comics
    Sangho Suh, Martinet Lee, Gracie Xia, and Edith Law
  9. revacnn-nips.png
    NIPS 2016 Workshop
    Re-VACNN Steering Convolutional Neural Network via Real-time Visual Analytics
    Sunghyo Chung, Cheonbok Park, Sangho Suh, Kyeongpil Kang, Jaegul Choo, and Bum Chul Kwon
  10. lens-nmf.png
    ICDM 2016
    🏆 Best Paper
    L-EnsNMF Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization
    Sangho Suh, Jaegul Choo, Joonseok Lee, and Chandan K Reddy