My research is in affective data science, where I apply programming, statistics, and machine learning to understand emotion and its related disorders. I am also interested in the rehabilitation of facial and vocal deficits in neurodegenerative disorders such as Parkinson's disease. For more information, please see my research page.
I lead the Affective Data Science Lab (ADSL) here at Otago. We focus on developing techniques and technologies that can recognize, predict, and express emotion. We often work with physiological equipment that generate large amounts of data, including motion capture and electromyography.
My background is in computer science and psychology. I studied Physics and Information Technology at the University of Queensland, and then did my PhD in Computer Science at UQ entitled “Changing musical emotions with a computational rule system”. I was then a postdoctoral fellow at McGill University, Canada, in Psychology, followed by fellowship positions at Ryerson University and McMaster University, Canada, in Psychology. Following this, I was an Assistant Professor in Computer Science at the University of Wisconsin, River Falls, where I taught the Data Science program. I joined the University of Otago in 2019.