Ragini Verma, Ph.D.
Diffusion & Connectomics In Precision Healthcare Research (DiCIPHR)
Center for Biomedical Image Computing and Analytics
Department of Radiology
University of Pennsylvania
Ragini is a Professor in Section of Biomedical Image Analysis, Department of Radiology at UPenn. She has masters in Mathematics and Computer Applications followed by a PhD in computer vision and mathematics, from IIT Delhi (India). She did two years of postdoc at INRIA, Rhone-Alpes, with the MOVI project (currently LEARS and PERCEPTION). She then did two years of post doc in medical imaging at SBIA, prior to taking up her current position. Ragini's research interest span the area of diffusion tensor imaging, multi-modality statistics and facial expression analysis. She is actively involved in several clinical studies in schizophrenia, aging, tumors and multiple sclerosis) as well as projects in animal imaging.
I work in the area of computational brain connectomics, which is the analysis of brain connectivity using sophisticated mathematical algorithms. My research encompasses diffusion imaging, multi-modal connectomics (combination of structure and function), and genetic underpinnings of the brain’s network structure. These methods find application in autism spectrum disorder, psychopathology, traumatic brain injury, neurosurgical planning, radiation planning, development and sex differences.