Summary
Manuel Diaz is a Senior Research Engineer with 14 years of experience specializing in high-performance computational fluid dynamics, GPU porting, and aeroacoustics, currently advancing DGFEM solvers for NVIDIA and AMD architectures at Cenaero. He combines deep academic rigor—holding a PhD in Applied Mechanics—with practical multi-GPU and MPI/CUDA implementations tested on top-tier supercomputers like LUCIA and LUMI. His work spans developing discrete gas-kinetic solvers for rarefied flows, exploring meshless methods, and integrating GPU-ready Python libraries, reflecting a rare blend of low-level performance engineering and exploratory prototyping. Comfortable in Fortran, C/C++, and Python, he has repeatedly bridged research and production code across international labs and industry, including extensions to COMPACT3D and Parallel DG solvers. Outside the lab he’s a daydreamer and jazz/electronic music lover, a detail that hints at a creative approach to tackling complex numerical problems.
14 years of coding experience
9 years of employment as a software developer
B.Sc. in Mechanical Engineering, Engineering Design, 8.23/10.0, B.Sc. in Mechanical Engineering, Engineering Design, 8.23/10.0 at Universidad Centroamericana 'José Simeón Cañas'
Ph.D. in Applied Mechanics, Computational Fluid Dynamics (CFD), 3.85/4.2, Ph.D. in Applied Mechanics, Computational Fluid Dynamics (CFD), 3.85/4.2 at National Taiwan University
Tech. in Mechanical Engineering, Mechanical Drafting and Mechanical Drafting CAD/CADD, 9.5/10, Tech. in Mechanical Engineering, Mechanical Drafting and Mechanical Drafting CAD/CADD, 9.5/10 at Instituto Tecnico Ricaldone
Mandarin Learner, Standard Chinese, 62/80, Mandarin Learner, Standard Chinese, 62/80 at National Taiwan Normal University
English, Chinese, Spanish, French