Aaron Knoll received the PhD degree from the University of Utah in 2009, researching efficient ray tracing methods for implicit surfaces. He explored fast CPU and GPU volume rendering, multi-field analysis and molecular visualization at postdoctoral fellowships at the University of Kaiserslautern and Argonne National Laboratory. At the Texas Advanced Computing Center at the University of Texas at Austin, he helped deploy visualization software on supercomputers and developed in situ visualization solutions for the Intel Xeon Phi architecture. Now a research scientist at the SCI Institute, he works with Valerio Pascucci and the CEDMAV group on solutions for large particle data, and merging in-core and out-of-core visualization methodologies. He is a member of the IEEE.