For my research, I work on developing efficient and interpretable deep learning methods for modeling structured high-dimensional data such as time-series and images, with meaningful applications to healthcare, precision medicine, and social good. Currently, I am interested in leveraging deep generative models to learn and capture useful representations for both regular and irregularly-sampled time-series data in the clinical setting.