I'm a postdoctoral fellow at the Vector Institute for Artificial Institute, where I am finding ways to experiment on machine learning algorithms using methods from cognitive psychology. I am applying these methods to challenges in explainability.
I'm formerly an associate at BEworks, where I used the scientific method and insights from behavioural economics to design experiments and inform solutions to real-world problems. Before that, I used to conduct research as a post-doctoral fellow at the University of Toronto and the Brain and Mind Institute at Western.
Throughout my scientific training, I focused on how humans process information from their senses, and how they can usefully convert that perceptual information into action. Check out the research tab to learn more about my work.
In the past, I also organized the workshop for Object Perception, Attention, and Memory at the annual meeting of the Psychonomics Society, where we highlight outstanding research by graduate and post-doctoral researchers in visual cognition. Check us out here.