Summary
Zac Johnston is a computational astrophysicist and postdoctoral researcher with a decade of experience modeling stellar explosions using high-performance computing, data pipelines, and advanced visualization. Based at Michigan State University, he develops and analyzes large, complex simulation datasets to uncover the physics of transient astrophysical events and communicates findings through peer-reviewed publications. Trained with a PhD from Monash University and a BS in Astrophysics and Mathematics, he blends rigorous theory with practical software engineering to produce reproducible, scalable research workflows. His background emphasizes HPC optimization and end-to-end data processing, enabling faster turnaround from simulation to scientific insight. Colocated in Chico, California, he pairs academic depth with hands-on coding and pipeline automation usually found in production research computing environments.
9 years of coding experience
Doctor of Philosophy - PhD, Astrophysics, Doctor of Philosophy - PhD, Astrophysics at Monash University