Her current research is focused on understanding human emotion and behavior computationally. She performs analysis and modeling of emotional, behavioral, and social signals captured in forms of image/video, speech and physiological measurements, by leveraging the theories and techniques from signal processing, machine learning and computer vision. She is interested in addressing research questions in the domains of direct societal importance, such as, health, education and media. Personal Webpage