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. 

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Research efforts in support of underserved groups, and inclusion of individuals from those groups in the research enterprise, are both high priorities of mine. A key organizing principle of the lab is that prioritization of individualized scientific and medical inference will benefit all, especially individuals poorly served by current group-centric paradigms. Design for equity takes center stage for projects in the lab, with input from key stakeholders actively sought. I aim to create a safe and supportive workplace, providing equitable guidance for the career development of all lab members. Given my own narrow intersection of identities, I am open to education and correction as needed to improve my stewardship of the above principles.