Manjari Narayan is a graduate student in the Rice Electrical and Computer Engineering department. She works at the intersection of high dimensional statistics and neuroscientific data analysis where her primary focus is to develop new methods that take advantage of the inherent low dimensional structure of complex real world signals such as fMRI images to solve open problems in neuroscience. Currently she is collaborating with neuroscientists in the Houston Medical Center to develop new methods to study functional connectomics. Manjari received her B.S and M.S in Electrical Engineering from the University of Illinois at Urbana-Champaign and Rice University, respectively. She is the recipient of the 2009 Google Anita Borg Scholarship.