Hi, I'm Michael! 😊

A picture of Michael Cooper

I'm a PhD student in the Department of Computer Science at the University of Toronto, where I am advised by Rahul Krishnan and Michael Brudno. In my research, I am focused on leveraging machine learning to augment human intelligence in the practice of medicine; I therefore work on theoretical and applied contributions to machine learning in the aim of advancing the accessibility and quality of patient care.

Prior to this, I earned B.S. and M.S. degrees in Computer Science from Stanford University, where I had the privilege of investigating the influence of indoor built space design on human wellbeing with James Landay and Sarah Billington, building an AR application to align patients and medical images with Bruce Daniel, and constructing a novel computer vision dataset with Ehsan Adeli and Fei-Fei Li.