Dr. Goldsmith joined Columbia after receiving his PhD in Biostatistics from Johns Hopkins in 2012, where his dissertation focused on statistical methods for high-dimensional structured data. Dr. Goldsmith has research interests in scientific domains including neuroimaging, physical activity monitoring using accelerometers, motion kinematics and motor learning, and urban environments. In these domains, he develops statistical methods that examine relationships between complex data structures and patient-level information; examples include using MRI scans to predict patient function and examining effects of aging on daily activity patterns.