My doctoral thesis work has focused on the application of pattern discovery to chemical engineering and biological problems. Broadly speaking, pattern discovery is the process of uncovering repeated elements in large datasets in an effort to extract useful functional information. With this functional information, we can gain more insight into the underlying biology and chemistry of systems, driving experimental hypotheses and allowing for more rationally developed, better-informed experimental plans. The specific focus of my work has ranged from the development of pattern discovery techniques to the use of these techniques on real datasets for development of broad experimental projects.