Summary
Bob Armstrong is a research scientist with over a decade of experience applying advanced algorithms, machine learning, and high-performance computing to astrophysics, space domain awareness, and dark energy surveys. He has led and delivered pipeline infrastructure for major projects like the Rubin Observatory LSST difference image pipeline and contributed foundational algorithms for PSF modeling, coaddition, and calibration in large survey collaborations. At Lawrence Livermore National Laboratory he combines hands-on development, algorithm design, and project leadership while mentoring students and securing research funding as PI. His background spans academia and national labs, with PhD training in elementary particle physics informing a rigorous, simulation-driven approach to data problems. Less obvious: he has repeatedly translated research-grade methods into scalable, production pipelines used by multi-institution collaborations. Based in Brentwood, CA, he thrives on turning complex scientific requirements into robust, operational systems for next-generation surveys and space security.
14 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD), Elementary Particle Physics, Doctor of Philosophy (PhD), Elementary Particle Physics at Indiana University Bloomington
The University of Utah
Spanish