Next-Gen Computational Tools for Collaborative and Quantitative Neuroimaging

Ryan P. Cabeen is a computational imaging researcher at the Mark and Mary Stevens Neuroimaging and Informatics Institute at the Keck School of Medicine of the University of Southern California (USC). He received his PhD in computer science from Brown University with Dr. David H. Laidlaw, where he investigated computational approaches for modeling and visualizing brain white matter using diffusion magnetic resonance imaging (MRI); and he received postdoctoral training in the Laboratory of Neuro Imaging with Dr. Arthur W. Toga. Dr. Cabeen is the creator and developer of the Quantitative Imaging Toolkit, a software package of computational tools for the modeling, analysis, and visualization of scientific imaging data. His current research focuses on building and applying cutting-edge computational neuroimaging tools for MRI and microscopy. He enjoys sharing this work through research collaborations with neuroscientists and clinicians and participation in community-organized workshops with other neuroimaging researchers.