Daniel Moyer

Assistant Professor of Computer Science

Research Focus

Daniel Moyer's research focuses on machine learning applied to medical imaging. He currently works on tracking and reconstruction projects in fetal MRI, multi-site problems in medical image analysis ("harmonization"), and segmentation problems in intra-vascular ultrasound (IVUS). He also has published work on neuroimaging and diffusion weighted MRI models, for which he received the MICCAI Young Scientist Award in 2016.