Summary
Justin Chang is a computational scientist and software engineer with 10 years’ experience building high-performance scientific software across DOE labs, academia, and the oil & gas sector. He specializes in HPC, applied mathematics, and GPU-accelerated data center solutions, now shaping system design for AMD’s HPC software group. His career blends deep research (PhD in Civil Engineering, postdocs at Rice and NREL) with production-focused engineering at CGG and national labs, enabling him to translate complex numerical methods into scalable, performant code. Based in Houston, he brings both domain expertise in computational earth sciences and practical experience deploying GPU-centric solutions for large-scale workloads. An often-overlooked strength is his ability to bridge theoretical modeling and hands-on system design, making him effective at turning research prototypes into deployable software.
10 years of coding experience
11 years of employment as a software developer
Master of Science (M.S.), Civil Engineering, Master of Science (M.S.), Civil Engineering at University of Houston
Bachelor of Science (B.S.), Civil Engineering, Bachelor of Science (B.S.), Civil Engineering at The University of Texas at Austin