About Me
I am currently completing a Doctoral degree in Psychology at the University of Toronto, under the supervision of Dr. Jay Pratt and Dr. Susanne Ferber.
In 2017, I received my Master's degree from the University of Toronto for my work using electroencephalography to examine neurophysiological mechanisms underlying the active suppression of task-irrelevant locations. Prior to beginning graduate studies, I completed a Bachelor of Arts (hons.) at Toronto Metropolitan University (formerly known as Ryerson University), where I worked under the supervision of Dr. Julia Spaniol to better understand changes in attentional systems/processes related to typical aging. |
Research Interests
My research is concerned with understanding processes at the intersection of feature-based attention and visual working memory. More specifically, my work is primarily aimed at addressing three topics of interest:
1) The automaticity by which the maintenance of feature-based information in visual working memory biases the selection of perceptually similar inputs in the environment, and the downstream consequences that this has on other cognitive systems/processes.
2) The extent to which attentional sets are shaped through accumulated experience (e.g., expectancies about target-distractor similarity).
3) Understanding the factors that support (or hinder) the precise representation of feature-guiding templates.
To address these topics, I employ a combined approach that involves the use of behavioral and electrophysiological measures, including event-related potentials and inverted encoding models
1) The automaticity by which the maintenance of feature-based information in visual working memory biases the selection of perceptually similar inputs in the environment, and the downstream consequences that this has on other cognitive systems/processes.
2) The extent to which attentional sets are shaped through accumulated experience (e.g., expectancies about target-distractor similarity).
3) Understanding the factors that support (or hinder) the precise representation of feature-guiding templates.
To address these topics, I employ a combined approach that involves the use of behavioral and electrophysiological measures, including event-related potentials and inverted encoding models