Focused on reliability engineering for electronic systems and data storage technologies, this expert brings more than 35 years of experience analyzing system performance, failure behavior, and probabilistic risk. He holds a Doctor of Philosophy in Mechanical Engineering from the University of Maryland, where his dissertation focused on the reliability modeling and assessment of redundant arrays of inexpensive disks (RAID) incorporating latent defects and non-homogeneous Poisson process events. He also earned a Master of Science in Mechanical Engineering, with a specialization in Reliability Engineering, and a Bachelor of Science in Mechanical Engineering from the University of Arizona. His work includes advanced reliability modeling, statistical analysis, and evaluation of common-cause failures, with particular depth in disk drive systems and redundant array architectures (RAID), including modeling of latent defects and non-homogeneous failure processes. He has held senior engineering and management roles at organizations such as General Electric, IBM, Tandem/Compaq, and NetApp, where he led reliability engineering efforts for complex products and systems.

His contributions extend to the development of industry reliability methodologies and standards, including work with IEEE reliability prediction frameworks and long-term leadership within the IDEMA reliability community. In parallel with his industry roles, he has provided consulting services involving reliability assessment, failure investigation, and system-level analysis, supported by technical publications and a patent related to disk drive reliability.