ABOUT

I am a Research Scientist in information visualization. I study how to design visual representations that help people make sense of data. My research focuses on visual encodings, accessibility, and evaluation methods.

Currently, I am part of the Visualization Design Lab at the Scientific Computing and Imaging Institute at the University of Utah, where I work with Alexander Lex.

I received my Ph.D. in Computer Science from Université Paris-Saclay, where I was a member of the AVIZ team at Inria. I was advised by Tobias Isenberg. I also hold dual master’s degrees in Human-Computer Interaction and Design from Université Paris-Saclay and KTH Royal Institute of Technology, and a bachelor’s degree in Architecture from Tongji University.

PUBLICATIONS

Peer reviewed conference & journal papers

Reframing <i>pattern</i>: A comprehensive approach to a composite visual variable
Visualizing information on smartwatch faces: A review and design space
Visualizing information on smartwatch faces: A review and design space
Information Visualization, 2025
PREVis: Perceived readability evaluation for visualizations
Design characterization for black-and-white textures in visualization
Tingying He, Yuanyang Zhong, Petra Isenberg, Tobias Isenberg
IEEE Transactions on Visualization and Computer Graphics, 2024 [VIS 2023]
Studies of part-to-whole glanceable visualizations on smartwatch faces
BeauVis: A validated scale for measuring the aesthetic pleasure of visual representations
Application of intelligent-interaction-based landscape experience augmentation
Jing Cao, Tingying He, Zheng Chen
Landscape Architecture Frontiers, 2018

Peer reviewed workshop papers

Position paper: A case to study the relationship between data visualization readability and visualization literacy
In Proceedings of Toward a More Comprehensive Understanding of Visualization Literacy Workshop at CHI, 2024
Data embroidery with black-and-white textures
Tingying He, Yuanyang Zhong, Petra Isenberg, Tobias Isenberg
In Proceedings of alt.VIS Workshop at IEEE VIS, 2023
Reflections on visualization in motion for fitness trackers

TEACHING

  • COMP 5960/6960 Programming for BioMedical Data Science (R): Spring 2026, Fall 2026 Webpage
  • COMP 5961/6961 BioMedical Data Analysis (Python): Spring 2026, Fall 2026 Webpage