Summary
Daniel Fulton is an HPC/AI systems engineer with 12 years of experience bridging computational physics and production software, currently shaping programming environments for supercomputers at NERSC. He has moved between national lab-scale HPC roles and industry positions at Microsoft and adidas, delivering infrastructure, data workflows, and software for high-performance simulations and product-focused 3D printing systems. With a PhD in computational plasma physics, he brings deep numerical modeling and performance optimization skills alongside systems-level engineering for AI workloads. Pragmatic and hands-on, he tinkers beyond code—brewing beer, cooking, and building circuits—which reflects a maker's approach to tooling and experimentation that informs his engineering practice.
12 years of coding experience
16 years of employment as a software developer
B.A., Physics, Computer Science, B.A., Physics, Computer Science at Lawrence University
Doctor of Philosophy (Ph.D.), Computational Plasma Physics, Doctor of Philosophy (Ph.D.), Computational Plasma Physics at University of California, Irvine
English, Japanese