Russell Greiner

Russell Greiner is a professor of computing science at the University of Alberta. He is a fellow of the Association for the Advancement of Artificial Intelligence and a specialist in machine learning and bioinformatics. Greiner is one of the principal investigators at the Alberta Innovates Centre for Machine Learning^[1] and has published over 200 refereed papers and patents.

Russell Greiner
Alma mater	California Institute of Technology (BSc) Stanford University (MSc, PhD)
Scientific career
Fields	Machine Learning, Medical Informatics, Bioinformatics
Institutions	University of Alberta
Doctoral advisor	Michael Genesereth

After earning a PhD from Stanford University, Greiner worked in both academic and industrial research before settling at the University of Alberta, where he became a professor in Computing Science (adjunct in Psychiatry) and the founding scientific director of the Alberta Machine Intelligence Institute.

He was elected a Fellow of the AAAI (Association for the Advancement of Artificial Intelligence), was awarded a McCalla Professorship,^[2] and received a Killam Annual Professorship.^[3]

He received the Killam Award for Excellence in Mentoring.^[4]

He has published numerous papers, most in the areas of machine learning and medical informatics. His work centers on medical informatics, survival prediction,^[5][6][7] and the formal foundations of learnability.