“Advancing Big Neuroimaging Data Analysis for Precision Diagnostics” 

This special lecture is hosted by the Mallinckrodt Institute of Radiology (MIR).

Dr. Aristeidis Sotiras, Ph.D., is a Research Associate in the Center for Biomedical Image Computing and Analytics (CBICA) at the Radiology Department of the University of Pennsylvania, where he works with Prof. Davatzikos on multivariate pattern techniques for quantitative image analysis. Dr. Sotiras received his Ph.D. in Applied Mathematics from École Centrale Paris, where he worked on probabilistic graphical models for deformable image registration under the supervision of Prof. Paragios. His research interests are at the intersection of medical image analysis, machine learning, and computational neuroscience. He focuses on developing novel computational methods to extract information from brain images and delineate patterns in large heterogeneous data sets. The overarching goal of his work is to improve patient-specific diagnosis and advance our understanding of brain structure and function in health and disease. He has co-authored more than 40 peer-reviewed journal and conference publications, and has achieved top performance in international challenges, such as the Alzheimer’s Disease Big Data DREAM challenge and the multimodal brain tumor segmentation challenge (BRATS). His work has been awarded a best student paper and student travel awards.