I am a post-doc at the Machine Perception and Interaction Lab at AASS Research Center , Department of Science and Technology, Örebro University, Sweden. I received my Ph.D in Computer Science in Örebro in 2015.
My research interest is in machine learning, specifically learning good representations from raw sensory data. I believe finding good representations is the key to designing a system that can solve interesting challenging real-world problems, go beyond human-level intelligence, and ultimately explain complicated data for us that we don't understand. In order to achieve this, I envision a learning algorithm that can learn feature representations from both unlabeled and labeled data, be guided with and without human interaction, and that are on different levels of abstractions in order to bridge the gap between low-level sensory data and high-level abstract concepts.