Ronald Pandolfi
Computer System Engineer at Berkeley Lab
California, United States
Summary
👤
Senior🎓
Top SchoolRonald Pandolfi is a Computer System Engineer and scientific software developer with 11 years of experience building full-stack Python tools for investigating soft matter and synchrotron-based physical systems. Based at Lawrence Berkeley National Lab, he develops data reduction, visualization, and management software for beamline experiments, translating complex experimental workflows into reliable, production-ready pipelines. His background as a soft matter physicist and a PhD-trained researcher informs a pragmatic, reproducible approach to scientific computing that spans from instrument data acquisition to end-user visualization. Known for bridging research and engineering, he combines hands-on coding with domain knowledge from years at the Advanced Light Source and Berkeley Lab, enabling faster insight from large experimental datasets.
11 years of coding experience
1 year of employment as a software developer
Bachelor of Science (BS), Mathematics, Bachelor of Science (BS), Mathematics at Randolph-Macon CollegeDoctor of Philosophy (Ph.D.), Physics, Doctor of Philosophy (Ph.D.), Physics at University of California, Merced
Github Skills (107)
python10
qt10
diffraction10
scientific-visualization10
visualization10
numpy9
api9
science9
data-visualization9
control-systems9
vispy9
plugin9
hardware9
uncertainty-quantification9
driver9
Programming languages (7)
Github contributions (5)
ronpandolfi/gpCAM
Dec 2021 - May 2026
Autonomous Data Acquisition, Uncertainty Quantification and HPC Optimization
Contributions:1 review, 5 PRs, 64 pushes in 4 years 5 months
data-acquisitionautonomousoptimizationuncertainty-quantificationuncertainty
lbl-camera/fastccd_support_ioc
Jul 2020 - Sep 2023
A support IOC for the LBL FastCCD to initialize, shutdown, and configure
Contributions:5 reviews, 10 PRs, 75 pushes in 3 years 2 months
initializeshutdownioclblconfigure
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