Dr. Christopher Potts's group uses computational methods to explore how emotion is expressed in language and how linguistic production and interpretation are influenced by the context of utterance. This research combines methods from linguistics, cognitive psychology, and computer science, in the service of both scientific discovery and technology development. In many cases, they have taken theoretical models of language use and applied techniques from machine learning to scale those models for use on massive data sets and in complex environments.

Dr. Christopher Barnes's lab is at the intersection of medicine, basic science and engineering. Viruses are inextricably linked to the host cells that they infect. Thus, investigating viral-host interactions is essential to understand the mechanisms of viral entry, replication, pathogenesis, and the host’s ability to respond to viral pathogens. The Barnes lab excels in leveraging interdisciplinary approaches to address fundamental principles of viral-host interactions for therapeutic benefit.