Brad works in Computational Engineering Division (CED) as an Image & Signal Processing Engineer in the Signal and Imagery Systems group. He has been predominately a hardware and software engineer since 2015. Brad supports both the National Ignition Facility (NIF) and Weapons Complex Integration (WCI) areas of LLNL. In NIF he works for the Detectors team within the Target Science and Engineering (TASE) group. The project involves characterizing high speed hybrid CMOS imagers to understand the inertial confinement fusion events. The multi-frame sensors interfaced have integration times as short as one nanosecond. For WCI, Brad works in the Surety group where hardware and software systems are developed. Prior to that, Brad spent two years in Non-Destructive Characterization Institute (NCI) where his work was focused on segment detection and verification of the computed tomography tools program.

Brad earned his Master’s in Electrical Engineering from Cal Poly San Luis Obispo. His thesis was on Electrocardiograph (ECG) Classification using Fuzzy Logic Inference Systems. Brad’s professional interests are in Computational Engineering, specifically neural networks integrated with physical hardware such as Field Programmable Gate Arrays (FPGAs) as well as protecting hardware from radiation induced Single Event Upsets (SEUs).

Master's, B.S. Electrical Engineering, California Polytechnic State University San Luis Obispo, California.