This is my personal webpage. I am an Assistant Professor at the University of Manitoba. This is a joint position between the Department of Statistics and the Department of Computer Science. My main research interests are dimension reduction methods for high-dimensional data. This includes linear approaches (e.g. PCA, CCA, PCEV, PLS) as well as nonlinear approaches (e.g. manifold learning, autoencoders). I am interested in developing statistical methodologies that are statistically and computationally efficient. I am also interested in applications to statistical genetics, genomics, and neuroimaging. I have a PhD in Biostatistics from McGill University. My supervisors were Dr. Celia Greenwood and Dr. Aurélie Labbe. The title of my PhD thesis was Dimension Reduction and High-Dimensional Data: Estimation and Inference with Application to Genomics and Neuroimaging.