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I am a PhD student working on topics in computational perception and cognition:
my computer science research is motivated by how people perceive, attend to, and remember images. I run eye tracking and memory experiments, and then build predictive computational models to understand and simulate these processes.
This work is interdisciplinary and spans the computer vision, visualization, cognitive science, and human vision communities. What makes an image or a data visualization memorable and effective? What are the most important parts of a visual display?
Read more about my research. Click on an icon to learn more:

About: I received an Honours B.Sc. in Computer Science and Statistics from the University of Toronto in 2012, advised by Sven Dickinson. I completed my MSc in the Department of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology (MIT), advised by Antonio Torralba and Aude Oliva. I am currently pursing a PhD in Computer Science at MIT, advised by Fredo Durand and Aude Oliva. Read more about me.