Nolan Dey

I am a MASc student in Systems Design Engineering at the University of Waterloo, where I am advised by Bryan Tripp, Graham Taylor, and Alexander Wong. My thesis topic is adapting neuroscience methods to explain deep network function. My research interests include using neuroscience to inspire neural algorithms, neural network explainability, and data efficient reinforcement learning.

I completed my BASc in Systems Design Engineering at the University of Waterloo, where I completed machine learning internships at Apple, Capital One, and Mind Foundry.