Summary
Joshua Suetterlein is a Senior Computer Scientist with nearly a decade of experience at the DOE national labs, specializing in the intersection of AI and high-performance computing to accelerate scientific discovery. He leads research in system software, runtime systems, performance modeling, advanced networking, and applying reinforcement learning and gradient-boosted trees to systems problems. His career includes developing extreme-scale asynchronous runtimes, novel roofline-based modeling techniques, and production-focused big data features such as JVM memory and I/O optimizations. A PhD-trained engineer, he combines deep academic roots with hands-on lab and industry experience to deliver scalable, performance-aware software for next-generation architectures. He is passionate about mentoring the next generation of engineers and even coached a FIRST Tech Challenge robotics team in Richland, WA. Colleagues know him for blending rigorous performance analysis with practical system-building to enable larger, faster experiments at scale.
9 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (PhD), Electrical and Computer Engineering, Doctor of Philosophy (PhD), Electrical and Computer Engineering at University of Delaware