Michael Cooper

Ph.D. Student, Computer Science

University of Toronto

Advised by Rahul G. Krishnan, Michael Brudno

Welcome to my website! I'm Michael - I'm a Ph.D. student in Computer Science at the University of Toronto, where my research focuses on implementing machine learning systems in high-stakes clinical domains like liver transplant prioritization. Motivated by these use cases, I also design and study algorithms to make modern machine learning methods more reliable and interpretable.

Previously, 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 augmented reality application to align patients and medical images in 3D space with Bruce Daniel, and constructing a computer vision dataset comprising complex multi-object multi-actor scenes with Ehsan Adeli and Fei-Fei Li.

In my free time, I enjoy scuba diving, long-distance running, and alpine skiing. I'm also an avid reader of science fiction and historical non-fiction (a few favorites: Liu Cixin's Remembrance of Earth's Past Trilogy, Kim Stanley Robinson's Mars Trilogy, and Ben Rich and Leo James' Skunk Works).