Prior to returning to SCI in 2026, Josh held faculty positions at University of Arizona (2016-2026) and Clemson University (2012-2016), and he was also a postdoctoral research associate at the University of Utah’s SCI Institute from 2009 to 2012. He received his PhD in Computer Science from The Ohio State University in 2009 after completing BS degrees in Computer Engineering and Mathematics in 2003 and an MS in Computer Science in 2004 from Case Western Reserve University. He is a recipient of the 2018 DOE Early Career Research Program (ECRP) award.
Josh’s research considers how data representation choices affect the scientific computing pipeline, particularly centered around the fields of visualization and data analysis. Scientific simulation is one vehicle to model phenomena that are otherwise impossible to observe, measure, or predict. Nevertheless, it also generates massive data that humans need to interpret, summarize, and communicate. His goals fit within this interdisciplinary effort, and he aims to bridge these gaps by both using and developing new theoretical and computational methods.
