James Buchanan
Research Scientist at Lawrence Livermore National Laboratory
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolJames Buchanan is a research scientist in Palo Alto with 11 years of experience applying Bayesian inference, Gaussian processes, and MCMC methods to astrophysics and particle-physics problems. Currently at Lawrence Livermore National Laboratory, he leads work on robust cosmic shear inference for Dark Energy and co-convenes the LSST Dark Energy Science Collaboration's Blending Working Group, developing machine-learning deblending and mitigation strategies. His background includes CMS experimental analysis at CERN and a Ph.D. in Physics from the University of Wisconsin–Madison, giving him rare cross-domain expertise in both observational cosmology and high-energy experiments. Known for turning "pixels into galaxies," he blends rigorous statistical methods with practical, production-ready analytics for large survey science.
11 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Physics, Doctor of Philosophy (Ph.D.), Physics at University of Wisconsin-MadisonBachelor of Arts with Honors (B.A.)/Bachelor of Science (B.S.), Physics/Mathematics, Bachelor of Arts with Honors (B.A.)/Bachelor of Science (B.S.), Physics/Mathematics at The University of Chicago
English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (36)
pytorch9
python9
machine-learning9
code-library9
aerospike8
deep-learning8
data-import8
tensorflow8
synthetic8
data-science8
astronomy8
injection7
data-management7
pipeline7
delta7
Programming languages (3)
Github contributions (5)
jjbuchanan/CaloLayer1Calibrations
May 2017 - Mar 2018
Contributions:14 PRs, 29 pushes, 5 branches in 9 months
jjbuchanan/source_injection
Jan 2024 - Aug 2024
Synthetic Source Injection (SSI) tasks for the LSST Science Pipelines
Contributions:19 pushes, 2 branches in 7 months
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