I am an Assistant Professor at the School of Computer Science, University of Waterloo. I direct the WatVis (Waterloo Visualization) research group. I am affiliated with the WaterlooHCI lab. I am also a member of the Waterloo Artificial Intelligence Institute (Waterloo.ai) and the Waterloo Institute for Sustainable Aeronautics (WISA). 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), Visual Analytics, and Data Science. I develop novel interactive systems and visual representations that promote the interplay between humans, machines, and data. My research aims to boost the efficiency of human-data interaction with exploratory and explanatory interfaces that tightly integrate the flexibility and creativity of users with the scalability of algorithms and machine learning.
I am always seeking highly-motivated and hard-working PostDoc, Ph.D., M.Math., and undergraduate students to work with my team on exciting research projects. Please read the Prospective page before contacting me; otherwise, you will unlikely get a response.
Recent and Best
Streaming in VR
Investigating practices, challenges, and opportunities of VR streaming on Twitch.
Empowering nerofeedback training for ASD children with mobile augmented reality games.
Black, yellow, or blue? Crafting the colors of your graphics designs with De-Stjil in a breeze!
Making slides right from Jupyter notebooks with tight human-AI collaboration.
Authoring multi-modal emoticons consiting of stickers, animation effects, and vibrotactile patterns.
Semantic search and exploration of computational notebook collections.
Exploratory visual analysis with chart recommendations.
Interacting with your smartphone through the built-in camera.
Studying handoff of partial findings in asynchronous collaborative sensemaking.
Visual exploration of dynamic egocentric networks.
Visual comparison of event sequence data, such as user clickstreams on websites.
Visual analysis of anomalous information spreading in social media.
Thank the following sponsors for kindly offering cash and in-kind contributions to our research!