Caleb Mattoon
Scientist at Lawrence Livermore National Laboratory
Livermore, California, United States
Summary
👤
Senior🎓
Top SchoolCaleb Mattoon is a scientist with nine years of experience specializing in nuclear data, currently developing the Generalized Nuclear Data (GND) framework at Lawrence Livermore National Laboratory to modernize how nuclear reaction data are stored, processed, and used in simulations. He holds a Ph.D. in Applied Physics from Colorado School of Mines and brings hands-on expertise in ENDF/GND formats, NJOY and AMPX workflows, and programming in Python, C++, Fortran and NumPy. Previously at Brookhaven’s National Nuclear Data Center he improved covariances for neutron-induced reactions and contributed to the EMPIRE reaction modeling code and an AFCI covariance library for fast reactor simulation. Caleb combines experimental experience in beta-decay and gamma-ray spectroscopy with Monte Carlo simulation and uncertainty quantification, and he applies machine learning to radiation detection algorithms—bridging experimental, theoretical, and data-driven approaches in nuclear science. An often-overlooked strength is his ability to translate legacy nuclear-data formats into streamlined, reproducible tooling that accelerates both research and applied simulations.
9 years of coding experience
2 years of employment as a software developer
B.A., Mathematics, Physics, B.A., Mathematics, Physics at Luther CollegePh.D., Applied Physics, Ph.D., Applied Physics at Colorado School of Mines
Github Skills (30)
updating10
fudge10
credit10
python9
data-integrity9
application9
cpp8
bayesian-inference8
macvim8
bayesian8
mcmc8
probabilistic8
jpype8
statistical-inference8
data-quality8
Programming languages (5)
Github contributions (5)
LLNL/gidiplus
May 2019 - Oct 2022
C++ libraries for accessing nuclear data from the Generalized Nuclear Database Structure (GNDS)
Contributions:4 releases, 1 review, 14 commits in 3 years 5 months
cppc-plus-plusdatabasenuclearnuclear-data
LLNL/fudge
Aug 2019 - Jan 2023
For Updating Data and Generating Evaluations (FUDGE): LLNL code for managing nuclear data
Contributions:1 review, 32 commits, 9 PRs in 3 years 5 months
creditpythondata-qualitydata-scienceevaluations
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