Brad Aimone is a Principal Member of the Technical Staff in the Data-driven and Neural Computing group (1462) at Sandia National Laboratories, where he is a lead researcher in computational neuroscience modeling and the Deputy PI and Neural Algorithms Core Lead on the Hardware Acceleration of Adaptive Neural Algorithms (HAANA) Grand Challenge, which is a major R&D program targeting the development of neural based computing algorithms and computing architectures. Prior to joining the technical staff at Sandia in 2011, he was a postdoctoral research associate at the Salk Institute for Biological Studies. He received his Ph.D. in Computational Neuroscience from the University of California, San Diego and earned his Bachelor and Master degrees in Chemical Engineering from Rice University. His primary research focus has long been adult neurogenesis in the hippocampus, where he was the first to use biologically realistic computational modeling approaches to describe its roles in episodic memory formation. He has more recently been involved in the development of novel algorithms based on neural circuit dynamics and the development of computational architectures suitable for implementing this novel approach to processing information. The motivating theme for his work is translational computational neuroscience – using engineering approaches in neuroscience to create applications in fields ranging from neurology and psychiatry to brain-inspired computing. Brad has published over thirty-five peer-reviewed journal articles and conference proceedings in venues including Neuron, Nature Neuroscience, and Nature Reviews Neuroscience as well as several book chapters and a number of invited talks and conference presentations. Brad has been one of the organizers of the NICE workshop since its inception in 2013.