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.
For the past 20 years most of Dr. Christopher Gardner's research has been focused on investigating the potential health benefits of various dietary components or food patterns using randomized controlled trials. The interventions have involved vegetarian diets, soy, garlic, omega-3 fats/fish oil/flax oil, antioxidants, Ginkgo biloba, and popular weight loss diets. These trials have studied outcomes that include weight, blood lipids and lipoproteins, inflammatory markers, glucose, insulin, and body composition. Most of these trials have been NIH-funded.
Dr. Christopher Bennett is a physician scientist and an Assistant Professor of Emergency Medicine at Stanford University School of Medicine. Once a basic scientist focused on genetics and genomics, Dr. Bennett’s work for the last several years has focused on large data-set analyses reflective of multiple multi-institutional studies aimed at better understanding how US emergency departments (and emergency physicians) can increase rates of HIV testing for at- risk patients.
