Whitaker Hall, Room 200E
EducationMD, Johns Hopkins University, 2003
PhD, Johns Hopkins University, 2003
BEE, Georgia Institute of Technology, 1995
Applies novel machine learning tools to quantify function and dysfunction of the nervous system for individualizing interventions
Dennis Barbour’s research interests include auditory processing, cognitive neuroscience, machine learning and medical informatics. Most recently he has developed new machine learning methods for rapidly and thoroughly evaluating perception and cognition. These new tests are not only useful for exploring normal nervous system function, but also for diagnosing disorders. The principles contributing to these successful diagnostics may also lead to effective neurotherapeutics, alone or when coupled with drug or device therapies.
Prior to joining the faculty at Washington University in St. Louis in 2004, Barbour was a Research Associate at the Salk Institute for Biological Sciences.