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.