Isaac Meyer is a software engineer and MIT-trained nuclear scientist with eight years of experience blending scientific computation and production software. He holds a PhD in Nuclear Engineering from MIT and has applied advanced uncertainty propagation and resonance formalism techniques to reactor physics problems. Isaac contributed to the widely used OpenMC Monte Carlo code, implementing resonance covariance support and sampling methods that bolster uncertainty quantification in nuclear data. His background spans national labs, academia, and healthcare research, including postdoctoral work at Harvard Medical School/Mass General and internships at Argonne and Los Alamos. Now based in Cambridge and working at Radiant, he focuses on building robust back-end systems that translate complex nuclear models into reliable engineering tools. Colleagues rely on him for bridging deep domain expertise with practical software engineering to advance carbon-free nuclear technologies.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Science, Nuclear Engineering, Bachelor of Science, Nuclear Engineering at University of California, Berkeley
Doctor of Philosophy - PhD, Nuclear Engineering, Doctor of Philosophy - PhD, Nuclear Engineering at Massachusetts Institute of Technology
Contributions:59 commits, 2 PRs, 9 comments in 7 months
Contributions summary:Isaac contributed to the OpenMC Monte Carlo code by implementing and extending the functionality for resonance covariance data, specifically focusing on the Reich-Moore and Multi-Level Breit-Wigner formalisms. Their work involved modifying the `resonance_covariance.py` file to support various covariance matrix formats (LCOMP) and building the sampling and reconstruction methods for generating data used in uncertainty quantification. The user's commits demonstrate a focus on integrating nuclear data within the OpenMC framework.
Contributions:38 commits, 92 pushes, 12 branches in 4 years 4 months
openmcmonte-carlocarlo
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