My research is in the areas of computer vision, machine learning and human visual perception. I am interested in building systems that can perceive the world like humans do. Although my work focuses on computer vision I am also interested in other modalities such as audition and touch. A system able to perceive the world through multiple senses might be able to learn without requiring massive curated datasets. Other interests include understanding neural networks, common-sense reasoning, computational photography, building image databases and the intersections between visual art and computation.