Dr. Brad Aimone is a Principal Member of the Technical Staff in the Center for Computing Research at Sandia National Laboratories, where he is a lead researcher in leveraging computational neuroscience to advance machine learning and in using brain-inspired computing platforms for future scientific computing applications. He was the Deputy PI and Neural Algorithms Core Lead on the Hardware Acceleration of Adaptive Neural Algorithms (HAANA) Grand Challenge, which was a major R&D program targeting the development of neural based computing algorithms and computing architectures from 2015-2017. Brad is currently is the PI of several efforts focused on developing neural algorithms for future scientific computing platforms.
Prior to joining the technical staff at Sandia in 2011, Dr. Aimone 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. Dr. Aimone has published over fifty peer-reviewed journal articles and conference publications, and has a number of patents, book chapters, magazine articles, and invited talks.