I am interested in statistical machine learning and biologically-inspired computer vision, with an emphasis on unsupervised learning and time series analysis.
I completed my PhD at the University of Toronto in 2009. My PhD thesis was titled "Composable, distributed-state models for high-dimensional time series". My thesis co-advisors were Geoffrey Hinton and Sam Roweis. I did a postdoc at NYU with Chris Bregler, Rob Fergus, and Yann LeCun.
I am looking for Master's and PhD students who are interested in Deep Learning and Representation Learning. If you are interested in working with me, you will need to apply to the Engineering Systems and Computing graduate program (School of Engineering).