Sangho Suh

profile-barcelona-crop.jpg

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 that support human-AI partnerships across diverse contexts. I am particularly interested in developing foundational frameworks and tools that fundamentally expand how we think, design, create, learn, and communicate.

The tools we use have a profound influence on our thinking habits, and, therefore, on our thinking abilities. - Edsger W. Dijkstra
First we shape tools, and thereafter, they shape us. - Marshall McLuhan

If you want to discuss collaboration opportunities, feel free to get in touch. You can contact me via sangho.suh@utoronto.ca.

Research Interests: Human-AI Interaction, Educational Technology, Creativity Support, Information Visualization

I'm on the job market for tenure-track faculty positions or industry research positions. Please reach out if you know of any suitable openings!

travel

Apr 25 - May 2, 2025 CHI2025 in Yokohama, Japan

news [archive]

Feb 4, 2025 Serving as an Associate Chair (AC) @ UIST’25.
Jan 16, 2025 Two papers are conditionally accepted at CHI 2025!
Dec 12, 2024 “Exploring the Design Space of Cognitive Engagement Techniques with AI-Generated Code for Enhanced Learning” led by Majeed Kazemitabaar is conditionally accepted at IUI 2025. Congrats Majeed!
Jun 29, 2024 “CoLadder: Manipulating Code Generation with Multi-Level Blocks” led by Ryan Yen is conditionally accepted at UIST 2024. Congrats Ryan!
May 27, 2024 Serving as an Associate Chair (AC) @ CHI’25.

selected publications [full list]

  1. marginalia.jpg
    CHI 2025
    MaRginalia Enabling In-person Lecture Capturing and Note-taking Through Mixed Reality
    Leping Qiu, Seongyoon Kim, Sangho Suh, Ludwig Sidenmark, and Tovi Grossman
  2. cog-eng-techniques.png
    IUI 2025
    Exploring the Design Space of Cognitive Engagement Techniques with AI-Generated Code for Enhanced Learning
    Majeed Kazemitabaar, Oliver Huang, Sangho Suh, Austin Z. Henley, and Tovi Grossman
  3. dynamic-abstractions.png
    UIST 2024 Workshop
    Dynamic Abstractions Building the Next Generation of Cognitive Tools and Interfaces
    Sangho Suh, Hai Dang, Ryan Yen, Josh M. Pollock, Ian Arawjo, Rubaiat Habib Kazi, Hariharan Subramonyam, Jingyi Li, Nazmus Saquib, and Arvind Satyanarayan
  4. luminate.jpg
    CHI 2024
    Luminate 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
  5. coladder.png
    UIST 2024
    CoLadder Manipulating Code Generation with Multi-Level Blocks
    Ryan Yen, Jiawen Zhu, Sangho Suh, Haijun Xia, and Jian Zhao
  6. sensecape.png
    UIST 2023
    Sensecape Enabling Multilevel Exploration and Sensemaking with Large Language Models
    Sangho Suh, Bryan Min, Srishti Palani, and Haijun Xia
  7. 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
  8. codetoon.png
    UIST 2022
    CodeToon Story Ideation, Auto Comic Generation, and Structure Mapping for Code-Driven Storytelling
    Sangho Suh, Jian Zhao, and Edith Law
  9. 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
  10. revacnn-nips.png
    NurIPS 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
  11. 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