Assistant Professor, Department of Psychology, Learning Research and Development Center
My lab has two core areas of research. First, we draw on the methods of cognitive neuroscience to understand how the human brain learns and stores knowledge, and how new knowledge influences other cognitive systems. One of the lab's main approaches is to combine neuroimaging experiments with advanced computational techniques. These analysis approaches can help us identify and -just as importantly- understand how information is being represented in the complex activity patterns of human cortex. Another key approach is using behavioral investigations to research how new knowledge becomes integrated into our memory systems.
A second focus is the development and use of new analytical approaches to probe functional magnetic resonance imaging (fMRI) data. One of the biggest challenges of the recent growth in 'big data' is identifying meaningful patterns from the immense amount of data that is available to us. We are working on approaches to understand how the information in the brain's networks is successfully integrated across different regions and brain systems.