I am a post-doctoral fellow at the Rotman Research Institute, Baycrest Health Sciences. My current research is focussed on understanding how basic visual and cognitive processes are affected in healthy and non-healthy older adults, relative to healthy younger adults. I am well versed in programming psychophysical experiments [MATLAB, PsychToolbox], collecting EEG [EGI, BioSemi, Muse] and pupillometry [Eyelink], and visualizing and analyzing data [R].
I completed my PhD in the Vision and Cognitive Neuroscience Lab (Allison Sekuler and Patrick Bennett) at McMaster University. My thesis research focused on understanding the neural mechanisms of face perception, and then using these principles to develop a novel stimulus class to study the generalizability of perceptual learning. Throughout my PhD studies, I was lucky to collaborate with plenty of researchers to study 1) population-level EEG dynamics; 2) the effect of perceptual degradation on memory; 3) the effects of ageing on figure-ground perception; 4) the effects of ageing on contour integration; and 5) continuous probing of perceptual rivalry experiences.
I have twice taught the Inferential Statistics course for Level III Psychology, Neuroscience & Behaviour students at McMaster University. In my second term as instructor, I introduced R-based labs/tutorials – a first for the PNB department. I always attempt to incoporate best-practices in data visualization and analysis, and develop student resources with this in mind. Throughout my academic career, I have mentored/supervised over a dozen undergraduate thesis or independent project students.
PhD (Psychology), 2018
Honours BSc (Biology and Psychology), 2012
Identifying the neural mechanisms tuned to processing the most informative aspects of faces.
Developing stimuli and paradigms that promote generalizable perceptual learning.
Sessional teaching instructor at McMaster University:
Teaching assistant for graduate students at McMaster University:
Teaching assistant for undergraduate students at McMaster University: