Dr. Barbara Shinn-Cunningham
Courtesy Professor, Electrical and Computer Engineering
Glen de Vries Dean, Mellon College of Science
Director, Neuroscience Institute
George A. and Helen Dunham Cowan Professor, Auditory Neuroscience, Psychology, Biomedical Engineering
- Baker Hall 335A
Pittsburgh, PA 15213
Bio
Barbara Shinn-Cunningham became the Director of the Carnegie Mellon Neuroscience Institute in 2018. Before joining Carnegie Mellon, she spent over twenty years on the faculty of Boston University (first in Cognitive and Neural Systems, and later in Biomedical Engineering). Her innovative work in auditory neuroscience has been recognized by the Alfred P. Sloan Foundation, the Whitaker Foundation, and the Vannevar Bush Fellows program. She has held numerous elected and appointed leadership positions in professional organizations such as the Association for Research in Otolaryngology and the Acoustical Society of America, and serves as on numerous advisory boards within both academia and industry.
Education
Sc.B., 1986
Electrical Engineering, magna cum laude
Brown University
M.S., 1988
Electrical & Computer Engineering
Massachusetts Institute of Technology
Ph.D., 1994
Electrical & Computer Engineering
Massachusetts Institute of Technology
Research
How do we make sense of speech and other sounds, given the cacophony reaching our ears in ordinary social settings? What brain networks allow us to focus attention and suppress uninteresting sound? Can we develop new assistive communication devices and technologies that leverage knowledge from auditory neuroscience to aid listeners with hearing impairment or other communication disorders? Dr. Shinn-Cunningham's research uses behavioral, neuroimaging, and computational methods to understand auditory processing, from how sound is encoded in the inner ear to how cognitive networks modulate the representation of auditory information in the brain.
Research Interests: auditory attention in normal and special populations; binaural and spatial hearing; subcortical and cortical sound processing; multi-sensory attention networks