Roland Memisevic is an assistant professor in Computer Science at the University of Montreal since September 2012. He received the PhD in Computer Science from the University of Toronto, Canada, in 2008. He held positions as research intern at Microsoft Research, Redmond, as research scientist at PNYLab LLC, Princeton, as a post-doctoral fellow at the University of Toronto and at ETH Zurich, Switzerland, and as a Junior Professor at the University of Frankfurt, Germany. His research interests are in machine learning and computer vision, in particular in unsupervised learning and feature learning.

His scientific contributions include higher-order and relational sparse coding models, approaches to learning motion and transformation patterns from images and videos, and approaches to invariant recognition. He presented his work at conferences such as NIPS, CVPR, ICCV, ICML, AAAI, and in journals such as PAMI, Neural Networks, Neural Computation. He served as a program committee member or reviewer for most of these and other conferences and journals in machine learning and computer vision. Roland Memisevic received a Government of Canada Award in 2003.