Dustin Scheinost, Ph.D., is an Assistant 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 for connectomics, we aim to develop novel statistical and machine learning methods for functional connectivity to meet challenges arising with the “big” neuroscience data. Second, the MINDS lab helps lead development of BioImage Suite Web (BISWeb; https://bioimagesuiteweb.github.io/webapp/), 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 Fetal, Infant, Toddler Neuroimaging Group (FIT’NG). This research has been supported by NIMH, NIAA, NIDA, and NHLBI.