Research Projects

Projects in the Smyth group span a variety of topics involving fundamental research on basic aspects of statistical machine learning, including time-series and sequence modeling, image and spatial data analysis, latent variable models, predictive modeling, deep learning, and more. We are also involved in numerous applications with collaborators, applying machine learning and statistical techniques to solve real-world problems across a variety of application areas in engineering, science, health and business.

Students interested in joining our research group should apply to either the Computer Science or Statistics PhD programs at UC Irvine.

Below are some examples of current projects in our group: