Zezhong Wang (王澤中)
We live in a world overflowing with data, and understanding it has never been more important. Yet for many people, data still feels cold, distant, or exclusionary, like a language they were never taught to speak. This disconnect widens inequality and allows misinformation to spread. My work grows from a simple belief: data can be more than numbers, it can tell stories, spark curiosity, and bring people closer to the world around them. Blending Visual Design, Human-Computer Interaction, and Data Visualization, I explore ways to make data something people can see, feel, and connect with.
I am currently a postdoctoral fellow at ixLab, Simon Fraser University working alongside Dr. Sheelagh Carpendale. Previously, I earned my PhD from the University of Edinburgh under the supervision of Dr. Benjamin Bach and Dr. Dave Murray-Rust. I bring my expertise in user experience design, visual storytelling, and data visualization to HCI communities and specific domains where data is valuable yet challenging to communicate to broader audiences. I look forward to continuing this journey and welcome opportunities to collaborate.

A Journey of Exploring Data Comics
A brief introduction to data comics and a summary of my exploration Continue reading A Journey of Exploring Data Comics

Cheat Sheets for Data Visualization Techniques
A set of concise graphical explanations to support understanding data visualization techniques Continue reading Cheat Sheets for Data Visualization Techniques

Data Comics for Climate Change
Engage the public to understand climate change with validated science and data Continue reading Data Comics for Climate Change

AI-VIS EthiCards: exploring ethics in AI for visualizations
A card deck and activities to engage exploration of ethics in AI for visualizations Continue reading AI-VIS EthiCards: exploring ethics in AI for visualizations
News
Our work will be presented at IEEE VIS 2025, I couldn’t attend in person, I hope to see you next time! Flirting Charts: Expressive Motion Design in Information Visualization Inspired by Animal Courtship Performances Input Data Comics: Exploring a Narrative Approach to Input Visualization; ThreadWave: Visualizing Co-authorship as Temporal Threads (led by Ruishan Wu); Exploring Data Detective Practices as a Class Activity (led by Ruishan Wu); The Fuzzy Front Ends: Reflections on the Never-Ending Story of Visualization Co-Design (led by Wei Wei).
Co-organizer of the Visual Methods & Analyzing Visual Data in Human-Computer Interaction workshop at ISS 2024 (October 27). Also serving as Local Organization Co-Chair for ISS 2024.
Co-organizer of the Data Storytelling in an Era of Generative AI workshop at VIS 2024 (October 13).
Paper Exploring Using Personalised Comics for Healthcare Communication for Patients Living With Hemodialysis was accepted by ACM Designing Interactive Systems Conference (DIS 2024).
Paper Design Patterns for Data-Driven News Articles received the Best Paper Honourable Mention at CHI 2024.
Paper From Science to Story: Communicating Permafrost Concepts with Data Comics was accepted by the International Conference on Permafrost (ICOP 2024).
IEEE Visualization and Graphics Technical Community (VGTC) Visualization Dissertation Award Honorable Mention 2023.
Started a project Data Comics for Climate Change in the summer of 2023, with Dr Sheelagh Carpendale, Dr Michelle Levy, and Dr Stephan Gruber, supported by the Government of Canada’s New Frontiers in Research Fund (NFRF).