I am an Assistant Professor at the School of Computer Science, University of Waterloo, where I am part of the WaterlooHCI lab. I am also a member of the Waterloo Artificial Intelligence Institute (Waterloo.ai). I received my Ph.D from the Department of Computer Science, University of Toronto, where I was affiliated with the Dynamic Graphic Project (DGP) lab.

My research focuses on the areas of Information Visualization (InfoVis), Human-Computer Interaction (HCI), and Data Science. I develop advanced interaction and visualization techniques that promote the interplay between humans, machines, and data. My research aims to boost the efficiency of real-world data analytical activities that involve a large amount of data, various complicated models, and a diverse group of analysts. I contribute to the design, development, and evaluation of visualizations that support the general data science workflow: from exploratory data analysis, then to model development and interpretation, and finally to insight communication and storytelling.

I am currently seeking highly-motivated and hard-working Ph.D., M.Math., and undergraduate students to work with me on exciting data-driven research. Please read this before contacting me.

Selected Projects

ChartSeer
(TVCG'20)
Exploratory visual analysis with chart recommendations.
VisTA
(InfoVis'19)
Supporting usability testing video analysis with machine intelligence.
T-Cal
(CHI'18)
Visual analysis of massive team conversations on Slack.
InkPlanner
(VAST'18)
Supporting ideation with fluid pen+touch interactions.
KTGraph
(VAST'17)
Studying handoff of partial findings in asynchronous collaborative sensemaking.
EgoLines
(CHI'16)
Visual exploration of dynamic egocentric networks.
MatrixWave
(CHI'15)
Visual comparison of event sequence data, such as user clickstreams on websites.
FluxFlow
(VAST'14)
Visual analysis of anomalous information spreading in social media.