Summary
Max Wallace is a multidisciplinary nuclear materials researcher and data engineer with 12 years of experience spanning national labs, academia, and industry. Currently a PhD student at UC Berkeley and a Staff Scientist at Lawrence Livermore National Laboratory, he combines hands‑on experimental diagnostics, nondestructive assay expertise, and machine‑learning models optimized for HPC to tackle hard problems in nuclear security and materials science. His background includes product-focused data engineering for a successful consumer hardware startup, deep work on historical nuclear forensics (the VELA 747 investigation), and development of predictive science workflows for exascale computing. Comfortable shifting between Python-driven analysis, ETL and NoSQL systems, and large-scale HPC optimization, he brings an unusual mix of operational rigor, startup grit, and curiosity-driven research.
13 years of coding experience