Brian Alden is a software engineering manager and PhD candidate in astrophysics who blends 25+ years of programming craft with domain expertise in X-ray astronomy, ML, big data, and HPC to turn complex scientific observations into production-quality data products. He led development of ClusterPyXT, an automated pipeline for spectral and thermodynamic mapping of galaxy clusters, and has published research applying AI/ML to match simulations with observations while dramatically accelerating processing. Now managing a 20-engineer team at Raytheon, he pairs hands-on algorithm and cloud experience (Python, AWS) with proven people leadership from roles across academia, startups, and a decade of military intelligence. His career uniquely bridges front-line intelligence operations and high-performance scientific software, enabling rigorous, mission-oriented delivery of analytics at scale.
10 years of coding experience
9 years of employment as a software developer
Bachelor of Science, Physics, Bachelor of Science, Physics at The George Washington University
Doctor of Philosophy (PhD), Astrophysics, Doctor of Philosophy (PhD), Astrophysics at University of Colorado Boulder
Computer Science, Computer Science at George Mason University
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Brian Alden - Software Engineering Manager at Raytheon