Fletcher’s research is focused on creating novel methods at the intersection of statistics, mathematics and computer science to solve problems in medical image analysis. He examines non-Euclidean geometric data derived from medical imaging and is currently collaborating with researchers in Autism and Alzheimer’s diseases at the University of Utah on the statistical analysis of combined imaging modalities, including structural MRI, DTI, fMRI and PET in longitudinal studies.