Dustin Scheinost, PhD

The MINDS lab conducts state-of-the-art research to help us better measure and understand human functional connectivity and is at the cutting edge of early-life neuroimaging. The lab’s research aims to develop novel statistical and machine learning methods for functional connectivity to meet challenges arising from the ‘big’ neuroscience data. The lab is one of a few in the country that use functional magnetic resonance imaging to examine fetal brain development, which complements our functional connectivity studies in neonates and infants. Together, these approaches can help to understand human cognition.

functional magnetic resonance imaging ;  network analysis ;  neurofeedback ;  open science ;  software development ;  statistical methods  

computational neuroscience ;  computational psychiatry ;  developmental disorders ;  machine learning ;  mental health ;  predictive modeling  

Dustin Scheinost received his Bachelor's degree in Biomedical Engineering from Washington University in 2007 and his PhD in Biomedical Engineering from Yale University in 2013. He launched the Welcome to Multi-modal Imaging, Neuroinformatics, and Data Science Laboratory in 2016. Outside the lab, he enjoys cycling, mountain biking, and spending time with his wife, Marisa, and son, Hunter.