Jeffrey Painter
Visiting Scientist Professional at Lawrence Livermore National Laboratory
Livermore, California, United States
Summary
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Senior🎓
Top SchoolJeffrey Painter is a seasoned scientific software engineer and mathematician with over four decades of experience and 13 years focused on scientific computing at Lawrence Livermore National Laboratory. He has deep expertise in high-performance scientific code and data management for petabyte-scale climate datasets, working in languages including Python, C, Fortran, MPI and R. Jeffrey improved critical numerical software (notably optimizing parallel sparse solvers for circuit simulation) and continues to advise LLNL as a Visiting Scientist, blending retirement with occasional high-impact contributions. His academic foundation (Ph.D. and M.S. from UW–Madison, B.S. from Harvey Mudd) underpins a pragmatic approach to robust, scalable scientific software for large Unix-like systems.
13 years of coding experience
6 years of employment as a software developer
Ph.D., M.S., applied mathematics, computer science, Ph.D., M.S., applied mathematics, computer science at University of Wisconsin-MadisonB.S., mathematics, B.S., mathematics at Harvey Mudd College
Github Skills (39)
asciidoc10
esgf10
conventions10
python9
climate-science9
diagnostics9
oceanography8
geodesy8
atmospheric-modelling8
derived7
tla7
self-contained7
scientific-computing7
data-analysis6
specification6
Programming languages (5)
Github contributions (5)
painter1/replication
Mar 2015 - Mar 2021
Contributions:15 pushes in 6 years
CDAT/uvcmetrics
Aug 2013 - May 2020
Contributions:1 release, 1401 commits, 72 PRs in 6 years 10 months
comparingmetricsdiagnosticsobservations
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