Summary
Martin Liza is a mission-planning and simulation-focused aerospace engineer with six years of experience bridging high-fidelity research and production systems across national labs, defense primes, and academia. He is completing a PhD in Aerospace Engineering while using DNS data from LLNL’s MARGOT code to develop wall functions for compressible nonequilibrium turbulent flows that can be deployed in LES, and he also contributes surrogate models through a university hypersonics consortium. Professionally he has translated research-grade physics into practical software and tools—optimizing real-time simulations, enabling GPU interfaces, and cutting runtime with multithreaded and code-level improvements at Northrop Grumman and Raytheon. At Johns Hopkins APL he leads mission planning work that combines systems engineering rigor with hands-on scripting in Python, MATLAB, Bash, and HPC workflows. His background in nuclear materials testing and mentor roles underscores a disciplined, safety-conscious approach and an ability to onboard and document complex codebases for diverse teams. Notably, he blends deep CFD and turbulence expertise with production-savvy software engineering to push hypersonic research toward operational impact.
6 years of coding experience
7 years of employment as a software developer
The University of Arizona
Engineering Science, Engineering Science at Passaic County Community College
Master of Science (MS) Aerospace Engineering, Master of Science (MS) Aerospace Engineering at Old Dominion University
Bachelor of Science (BS) Mechanical Engineering & Professional Physics (double major), Bachelor of Science (BS) Mechanical Engineering & Professional Physics (double major) at Rutgers University
English, Spanish