My research focuses on the development and application of machine/deep learning algorithms to biomedical and physiological datasets. I am interested in the ways physiological data analysis can be used to improve the health of individuals in both clinical settings (e.g. decision support systems), as well as general everyday environments (e.g. mobile and wearable health management systems). My research interests include physiologic time-series analysis, deep neural networks, artificial intelligence, machine learning, affective computing and digital health.
I am particularly interested in the analysis of physiological data in order to infer information about psychological state. One of the main goals of my research is to investigate the ways mobile and wearable technology can benefit mental health conditions such as anxiety and depression, including disorders such as panic disorder, post-traumatic stress disorder and depressive disorder.
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