Alex Broughton is a postdoctoral researcher and computational physicist at SLAC National Accelerator Laboratory with eight years of experience building data pipelines and instrumentation software for dark-matter and dark-energy experiments. He specializes in instrument signature removal and early-science pipelines for the Vera C. Rubin Observatory’s LSST camera, blending hardware-savvy detector work from LZ/DAX with advanced data-science and algorithm development. Alex’s background spans end-to-end systems — from microcontroller-based DAQ and high-voltage testing to large-scale commissioning and simulation — enabling him to bridge lab instrumentation and production analysis. Based in Palo Alto, he pairs rigorous PhD-level research with hands-on engineering to accelerate scientific throughput and reproducibility. He is driven by making complex astrophysical measurements and results broadly accessible, and his career reflects a persistent focus on practical tools that turn raw detector signals into usable cosmological probes.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at University of California, Davis
Contributions:7 commits, 11 pushes, 3 branches in 1 year 1 month
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