Michael Cooper’s bio
Michael Cooper is a Ph.D. student studying Computer Science at theUniversity of Toronto, under the supervision of Rahul Krishnan and Michael Brudno. His research centers around applying methods from machine learning to problems in healthcare, and his current line of work leverages machine learning to improve organ allocation and pre-transplant outcomes in liver transplant patients. Prior to starting his Ph.D., Michael earned B.S. and M.S. degrees in Computer Science (Artificial Intelligence) from Stanford University.