I am an Assistant Professor at the University of Toronto in the Computer Science Department. My research area is Data Visualization, with my current research projects focusing on creating user adaptive interactive data visualizations.
Before joining the University of Toronto, I was a Postdoctoral Fellow with Hanspeter Pfister's Visual Computing Group at the School of Engineering and Applied Sciences at Harvard University. I received my PhD with Alex Lex at the Visualization Design Lab at the Scientific Computing and Imaging Institute and the School of Computing at the University of Utah. I have a master’s degree in software engineering from the Harvard Extension School, as well as a previous life as an oceanographer studying the Arctic Ocean and its effect on our planet.
I am the receipient of the Harvard Data Science Inititative Fellowship, as well as a 2020 Wojcicki Troper Fellow. I also received a VGTC Outstanding Dissertation Honorable Mention for my PhD Dissertation on Visualizing Multivariate Networks.
I am data visualization designer and researcher. My research focuses on multivariate network visualizations and investigating how visual literacy can be captured and increased via provenance analysis and experiential learning approaches. Most recently I was awarded an HDSI research grant to investigate the mechanisms by which visualization can promote trust in science