معرفی
Selim Romero is a Post-Doctoral Research Associate at Texas A&M University's Single Cell Data Science Core, specializing in computational science and quantum computing. His work bridges physics, chemistry, and biology through high-performance computing (HPC) and algorithm development in C, C++, Python, Fortran, and MATLAB.
- Education: Ph.D. and M.S. in Computational Science, M.S. in Physics, and B.S. in Engineering Physics
- Technical Expertise: Parallel computing (MPI/OpenMP), GPU programming (CUDA/OpenMP), Fortran90, and density functional theory
His research focuses on quantum materials, self-interaction-corrected density functional theory, and quantum computing applications. Recent publications emphasize self-interaction correction methods, quantum algorithms, and single-cell RNA sequencing data analysis using quantum annealing. He actively participates in workshops like Qiskit Global Summer School and NERSC GPU programming bootcamps.
The trend in his publications reveals a dual emphasis on quantum computing (e.g., quantum annealing for feature selection) and computational chemistry/physics (e.g., self-interaction correction in density functional theory). His work spans algorithm development, HPC optimization, and interdisciplinary applications in gene expression analysis and quantum materials.
As part of Texas A&M AgriLife and the College of Agriculture & Life Sciences, Selim contributes to cutting-edge computational research while engaging with institutions like NERSC and Intel Developer Tools Optimization programs.
