Arash Vahdat is a principal research scientist at NVIDIA research specializing in computer vision and machine learning. Before joining NVIDIA, he was a research scientist at D-Wave Systems where he worked on deep generative learning and weakly supervised learning. Prior to D-Wave, Arash was a research faculty member at Simon Fraser University (SFU), where he led research on deep video analysis and taught graduate-level courses on machine learning for big data. Arash obtained his Ph.D. and M.Sc. from SFU under Greg Mori’s supervision working on latent variable frameworks for visual analysis. His current areas of research include deep generative learning, representation learning, efficient neural networks, and probabilistic deep learning.