Christopher_Rozell

Prof Christopher Rozell

Professor of Electrical and Computer Engineering, Georgia Institute of Technology
Christopher Rozell attended the University of Michigan, receiving a B.S.E. in Computer Engineering and a B.F.A. in Performing Arts Technology (Music Technology) in 2000. He attended graduate school at Rice University, receiving the M.S. and Ph.D. in Electrical Engineering in 2002 and 2007, respectively. Following graduate school, he joined the Redwood Center for Theoretical Neuroscience at the University of California, Berkeley as a postdoctoral research fellow in 2007. He joined the Georgia Tech faculty in July 2008, where he is affiliated with the Center for Signal and Information Processing.

Dr. Rozell’s research interests focus on the intersection of computational neuroscience and signal processing. One branch of this work aims to understand how neural systems organize and process sensory information, drawing on modern engineering ideas to develop improved data analysis tools and theoretical models. The other branch of this work uses recent insight into neural information processing to develop new and efficient approaches to difficult data analysis tasks.

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It can be challenging to create a treatment plan for depression. This is especially true for patients who aren’t responding to conventional treatments and are undergoing experimental therapies such as deep brain stimulation. For most medical conditions, doctors can directly measure the part of the body that is being treated, such as blood pressure for cardiovascular disease. These measurable changes serve as an objective biomarker of recovery that provides valuable information about how to care for these patients.

It can be challenging to create a treatment plan for depression. This is especially true for patients who aren’t responding to conventional treatments and are undergoing experimental therapies such as deep brain stimulation. For most medical conditions, doctors can directly measure the part of the body that is being treated, such as blood pressure for cardiovascular disease. These measurable changes serve as an objective biomarker of recovery that provides valuable information about how to care for these patients.

Clinical Articles iconClinical Articles