Professor at the Department of Computing Science, University of Alberta

PI, Alberta Innovates Centre for Machine Learning

Researcher of Algorithms & Theory, Artificial Intelligence, Bio-/Medical Informatics, Information Extraction & Visualization, Medical Imaging, and Machine Learning, Alberta Machine Intelligence Institute

 

Short Bio

After earning a PhD from Stanford University, 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 and the founding Scientific Director of the Alberta Innovates Centre for Machine Learning (now Alberta Machine Intelligence Institute), which won the ASTech Award for “Outstanding Leadership in Technology” in 2006. He has been Program Chair for the 2004 “Int’l Conf. on Machine Learning”, Conference Chair for 2006 “Int’l Conf. on Machine Learning”, Editor-in-Chief for “Computational Intelligence”, and is serving on the editorial boards of a number of other journals. He was elected a Fellow of the AAAI (Association for the Advancement of Artificial Intelligence) in 2007, and was awarded a McCalla Professorship in 2005-06 and a Killam Annual Professorship in 2007. He has published over 250 refereed papers and patents, most in the areas of machine learning and knowledge representation, including 4 that have been awarded Best Paper prizes. The main foci of his current work are (1) bio- and medical- informatics; (2) learning and using effective probabilistic models and (3) formal foundations of learnability.