Summary
Will Zywiec is a Staff Scientist Engineer with eight years of experience applying gamma-ray and neutron spectroscopy, machine learning, and risk analysis to nuclear safety problems at Lawrence Livermore National Laboratory. He blends hands-on nuclear operations experience from six years in the US Navy with advanced academics—a PhD focused on deep neural network metamodels of Monte Carlo radiation transport and an MSE in Systems Engineering—to translate complex simulation workflows into fast, reliable predictive tools. As a visiting lecturer at UC Berkeley, he bridges research and education while maintaining practical safety priorities (aptly summarized on GitHub as "Keeping the keff < 1"). His work spans nuclear criticality safety, rare-event estimation, and investment research, reflecting a knack for quantifying low-probability, high-consequence risks. Colleagues rely on him for rigorous, system-level solutions that combine probabilistic methods and modern ML to make high-fidelity physics models more tractable for decision-making.
8 years of coding experience
Johns Hopkins University
Doctor of Philosophy (PhD), Systems Engineering, Doctor of Philosophy (PhD), Systems Engineering at The George Washington University
Bachelor of Science (BS), Nuclear Engineering, Bachelor of Science (BS), Nuclear Engineering at Rensselaer Polytechnic Institute