Dustin Scheinost, PhD, BS

Dustin Scheinost, Ph.D., is an Associate Professor of Radiology & Biomedical Imaging, Biomedical Engineering, Statistics & Data Science, and at the Yale Child Study Center. The Multi-modal Imaging, Neuroinformatics, & Data Science (MINDS) Lab’s research is three-fold. First, using state-of-the-art research in connectomics, we aim to develop novel statistical and machine learning methods for functional connectivity to address challenges arising from the “big” neuroscience data. Second, the MINDS lab helps lead the development of BioImage Suite Web (BISWeb; https://bioimagesuiteweb.github.io/webapp/), an integrated image analysis webapp. Third, we are at the cutting edge of early life neuroimaging, focusing on the development of the brain’s functional organization in fetuses, neonates, and infants. We are a founding member of the Fetal, Infant, Toddler Neuroimaging Group (FIT’NG). This research has been supported by NIMH, NIAA, NIDDK, NIDA, and NHLBI.