Elizabeth Sweeney

 

 


 

Dr. Elizabeth Sweeney earned her PhD from the Biostatistics department at the Johns Hopkins Bloomberg School of Public Health, under the supervision of Dr. Ciprian Crainiceanu at Johns Hopkins and Dr. Russell Shinohara at the University of Pennsylvania. Elizabeth’s PhD research has made contributions to the improved analysis of neuroimaging data, as evidenced by numerous publications, presentations, and patents. Elizabeth’s interest in this area began with a traineeship at the Nation Institute of Neurological Disease and Stroke, where she did research in Dr. Daniel Reich’s lab on image analysis in multiple sclerosis. Elizabeth is passionate about both research and teaching. Elizabeth has co-taught a number of tutorials and courses on neuroimage data analysis. She also taught and introductory biostatistics course to masters of public health students at the American University of Armenia. Elizabeth now works on imaging in Alzheimer's disease at Rice University as a Rice Academy Postdoctoral Fellow. With mentors Dr. Genevera Allen of Rice Statistics and Dr. Joshua Shulman of the Baylor College of Medicine Neurology, Elizabeth is working to develop neuroimaging, epidemiological, and genetic biomarkers in Alzheimer's disease.




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Dec 12th 2016

Neurohacking describes how to use the R programming language and its associated package to perform manipulation, processing, and analysis of neuroimaging data. We focus on publicly-available structural magnetic resonance imaging (MRI). We discuss concepts such as inhomogeneity correction, image registration, and image visualization.

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