Her research interests lie at the intersection of machine learning and information theory. In applying machine learning to information theory, her current focus includes the development of codes for communication and compression via deep learning. In applying information theory to machine learning, her current focus includes the information theoretic analysis and development of machine learning algorithms. She is also interested in developing methodologies for designing lightweight high-accuracy neural network models.