Elizabeth DuPre is a psychologist and computational neuroscientist developing methods to characterize complex, naturalistic cognition in health and disease. As a postdoctoral fellow with Prof. Russ Poldrack, she is working to model individual brain activity across a range of cognitive states—and to assess the generalizability of these individualized models—by extending statistical methods for human neuroimaging data analysis.
Elizabeth’s background is in cognitive neuroscience, with bachelors and masters degrees in developmental psychology from Cornell University. She then obtained a Ph.D. in neuroscience at McGill University with Prof. Jean-Baptiste Poline, where she focused on benchmarking emerging methods to compare functional activations during complex cognitive tasks. Throughout her work, she has remained actively involved in the open source ecosystem with a focus on improving the reproducibility of analysis workflows.