Hi, I'm Hyeok Kim (hjʌk). I am an incoming Assistant Professor at the School of Computing, KAIST (한국과학기술원) in Daejeon (대전), South Korea, starting this Fall semester. I am a departing postdoc at the Paul G. Allen School of Computer Science & Engineering, University of Washington, working with Jeffrey Heer, Leilani Battle and the Interactive Data Lab colleagues. I have received my Ph.D. in Computer Science from Northwestern University, advised by Jessica Hullman at MU Collective. Previously, I did my master's in Communication at Seoul National University with colleagues from HCI+D Lab.

My research interests include

• 📊 data visualization systems, formalization, and automation,
• 📱 visualization across multiple user/data contexts,
• ⚛️ interfaces for quantum computing, and
• 📜 visualization experiment design automation.

If you are interested in these areas as well, feel free to contact me for collaboration 🙆🏻‍♂! Prospectus students, please see the Work with me section.

Bio

Hyeok Kim is an incoming Assistant Professor at the School of Computing, KAIST. His research aims at bringing complicated computing technologies to creators, developers, and designers with varying levels of expertise. His work has introduced novel techniques for designing data visualizations on multiple device types, creating data sonification, and programming for quantum computing. His work has been published at top visualization and HCI venues, including ACM CHI, CSCW, IEEE VIS, QCE, and EuroVis. Hyeok was a Postdoctoral Scholar at the Paul G. Allen School of Computer Science & Engineering, University of Washington. Hyeok holds his Ph.D. in Computer Science from Northwestern University, an M.A. in Communication, and a B.A. in Linguistics from Seoul National University.

My research aims at making computing and data more accessible and approachable for different types of audiences through visual approaches. I design, develop, and evaluate interactive systems for visualizations for multiple user contexts, audio-based data representations (sonifications), quantum computing, and experiment automation. My research uses formal representation as a robust tool for reasoning about problems and supporting solutions.

Selected Publications

• Hyeok Kim, Sehi L'Yi, Nils Gehlenborg, and Jeffrey Heer. (2026). Automatic Synthesis of Visualization Design Knowledge Bases. ACM CHI. Preprint. DOI: 10.1145/3772318.3790286.
• Hyeok Kim, Mingyoung J. Jeng, and Kaitlin N. Smith. (2025). Toward Human-Quantum Computer Interaction: Interface Techniques for Usable Quantum Computing. ACM CHI. Preprint. DOI: 10.1145/3706598.3713370. Software (open-source).
• Hyeok Kim, Yea-Seul Kim, and Jessica Hullman. (2024). Erie: A Declarative Grammar for Data Sonification. ACM CHI. Preprint. DOI: 10.1145/3613904.3642442. Library (open-source).Editor.Documentation.
• Hyeok Kim, Ryan Rossi, Jessica Hullman, and Jane Hoffswell. (2024). Dupo: A Mixed-Initiative Authoring Tool for Responsive Visualization. IEEE TVCG (VIS 2023). Preprint. DOI: 10.1109/TVCG.2023.3326583. Software (copyrighted).
• Hyeok Kim, Ryan Rossi, Fan Du, Eunyee Koh, Shunan Guo, Jessica Hullman, and Jane Hoffswell. (2022). Cicero: A Declarative Grammar for Responsive Visualization. ACM CHI. Preprint. DOI: 10.1145/3491102.3517455.

→ My Google Scholar profile is actively maintained.

• CS.59900—Special Topics in Computing: Advanced Data Visualization (2026 Fall)

Link

Email: TBD
Bluesky: @hyeok.me