Expert profile — Profil d'expert

After earning a PhD from Stanford, Russ Greiner worked in both academic and industrial research before settling at the University of Alberta, where he is now a Professor in Computing Science (Adjunct in Psychiatry) and the founding Scientific Director of the Alberta Machine Intelligence Institute. He has been Program/Conference Chair for various major conferences, and has served on the editorial boards of a number of relevant journals. He was elected a Fellow of the AAAI (Association for the Advancement of Artificial Intelligence), was awarded a McCalla Professorship and a Killam Annual Professorship; in 2021, received the CAIAC Lifetime Achievement Award and became a CIFAR AI Chair. In 2022, the Telus World of Science museum honored him with a panel, and he received the (UofA) Precision Health Innovator Award, then in 2023, he received the CS-Can | Info-Can Lifetime Achievement Award. In 2024, he shared the Brockhouse Prize with David Wishart, for their joint work on "Machine Learning for Metabolomics". For his mentoring, he received a 2020 FGSR Great Supervisor Award, then in 2023, the Killam Award for Excellence in Mentoring. He has published over 350 refereed papers, most in the areas of machine learning and recently medical informatics, including 6 that have been awarded Best Paper prizes. The main foci of his current work are (1) bio- and medical- informatics; (2) survival prediction and (3) formal foundations of learnability.