Rabab Alomairy

Biography

Dr. Rabab Alomairy is an Ibn Rushd Assistant Professor of Computer Science at King Abdullah University of Science and Technology (KAUST). Her research is rooted in high-performance computing (HPC) and focuses on the co-design of algorithms, software, and hardware-aware systems for next-generation AI and scientific computing infrastructure. Her work spans task-based numerical libraries, GPU programming, scalable runtime systems, mixed-precision computing, efficient AI inference, and AI-accelerated scientific applications. Through her work, she develops scalable and efficient computing technologies that improve performance, memory efficiency, and system utilization on modern multicore, many-core, and accelerator-based architectures. Her broader goal is to enable practical, efficient, and scalable computing systems that accelerate scientific discovery and support national-scale AI innovation.

Dr. Alomairy has collaborated with leading research institutions and industry partners, including the Massachusetts Institute of Technology (MIT) through JuliaLab, NVIDIA, Oak Ridge National Laboratory (ORNL), the Innovative Computing Laboratory (ICL) at the University of Tennessee, and MINES ParisTech. During an internship at the University of Tennessee, she contributed to the U.S. Department of Energy-funded SLATE project, advancing next-generation numerical software for high-performance computing. She later joined MIT JuliaLab, where she worked on high-performance computing, task-based runtimes, GPU-accelerated numerical libraries, and AI-driven scientific computing applications. Through these collaborations, she has contributed to the development of scalable software and algorithms for next-generation AI and scientific computing systems.

In recognition of her research contributions, Dr. Alomairy was named a Rising Star in Computational and Data Sciences by the U.S. Department of Energy in 2022. She also led the first Julia tutorial for productive HPC at the Supercomputing Conference. Her work has scaled across some of the world's most powerful supercomputers and has received international recognition, including finalist honors for the ACM Gordon Bell Prize (2020), the Gauss Award and the IEEE Computer Society Technical Community on High Performance Computing (TCHPC) Early Career Researchers Award for Excellence in High Performance Computing (2025).

Before joining the KAUST faculty, Dr. Alomairy was a postdoctoral fellow at MIT’s JuliaLab and a recipient of the KAUST Ibn Rushd Fellowship. She also served as Senior AI Expert at Tahakom Saudi company, where she led initiatives in AI infrastructure, distributed AI systems, and sovereign AI technologies, helping bridge cutting-edge research with large-scale industrial deployment. A KAUST alumna, she earned both her M.S. and Ph.D. in Computer Science under the supervision of Professor David E. Keyes and Senior Research Scientist Hatem Ltaief.

Dr. Alomairy continues to advance sustainable high-performance computing while fostering interdisciplinary collaboration at the intersection of HPC and artificial intelligence, translating cutting-edge computational methods into solutions for real-world scientific challenges.