Fanny Chevalier

Fanny Chevalier is an Assistant Professor at the University of Toronto, cross-appointed to the Department of Computer Science and Department of Statistical Sciences. Her research bridges data visualization and human-computer interaction, focusing on interactive tools for visual analytics and creative data exploration.

Research Focus: Key themes include design and evaluation of visual exploration tools for complex datasets, statistics education through visualization, perception of animated transitions, and sketch-based interfaces. Her work emphasizes both theoretical and applied aspects of data-human interaction.

Education & Career: Holds an MSc (2004) and PhD (2007) from Université de Bordeaux, with postdoctoral experience at Inria (France), OCAD University, and University of Toronto. Transitioned from research scientist roles to academia, joining the University of Toronto faculty in 2017.

Contact:Email: fanny@cs.toronto.edu