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Ruth Urner is an Associate Professor in the Department of Electrical Engineering and Computer Science at York University. She has previously held postdoctoral positions at the Max Planck Institute for Intelligent Systems in Tübingen, Germany, and at the Department of Machine Learning of Carnegie Mellon University, as well as at Georgia Tech in the USA. Ruth spent a semester as a Simons-Berkeley fellow at the Simons Institute in Berkeley in the spring of 2017. She received her Ph.D. in Computer Science from the University of Waterloo, Canada, in 2013, where her thesis focused on machine learning theory. Her research primarily concentrates on developing formal foundations for understanding machine learning algorithms and paradigms, with an emphasis on analyzing the benefits of information extraction from both unlabelled and labelled data through techniques such as semi-supervised and active learning, as well as from diverse sources using methods like transfer learning and lifelong learning.
Department of Liberal Arts & Professional Studies graduate programs generally follow the Faculty of Graduate Studies (FGS) B+ minimum requirement.