Dr. Reimers’ research focuses on analyzing and interpreting the very large data sets now being generated in neuroscience, especially from the high-throughput technologies developed by the BRAIN initiative. He obtained his MSc in scientific computing, and his PhD in probability theory from the University of British Columbia in Canada. He has worked at Memorial University in Canada, the Karolinska Institute in Stockholm, at several start-up companies in Toronto and in Boston, at the National Institutes of Health in Maryland, the Virginia Institute for Psychiatric and Behavioral Genetics in Richmond, and since January 2015 in the Neuroscience Program at Michigan State University.