Elizabeth Sweeney, PhD



Photo of Elizabeth Sweeney, PhD

Elizabeth Sweeney, PhD

Assistant Professor of Biostatistics

Dr. Sweeney’s methodological research centers on the analysis of structural magnetic resonance imaging (MRI), with a particular focus on the disease of multiple sclerosis (MS).  She has worked on image segmentation, image normalization, cross-sectional and longitudinal modeling, as well as software development in this area.  Her recent work has focused on analysis of the novel quantitative MRI sequence of quantitative susceptibility mapping, applied to MS.  Her collaborative work spans many areas in neurology and radiology.

Content Area Specialties

Biostatistics, image analysis, multiple sclerosis, neurology, radiology

Methodology Specialties

Imaging statistics, observational studies, longitudinal data

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To understand health and disease today, we need new thinking and novel science —the kind  we create when multiple disciplines work together from the ground up. That is why this department has put forward a bold vision in population-health science: a single academic home for biostatistics, epidemiology and informatics. 

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