A Case Study in Reproducible Data Science: Measuring and Modeling Human Brain Connectivity



Ariel Rokem

Ariel Rokem received a PhD in Neuroscience at Berkeley in 2010. He is currently a postdoc at Stanford University. His work in recent years has focused on quantitative MRI methods to study brain connectivity, structure, and physiology. In March 2015, he will join the eScience Institute at the University of Washington as a data scientist. 

The BIDS Data Science Lecture Series is co-hosted by BIDS and the Data, Science, and Inference Seminar