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About Me

I am a postdoctoral researcher at the MIT JuliaLab and an HPC enthusiast who loves solving complex problems by thinking in parallel. My research intersects High-Performance Computing (HPC) and Artificial Intelligence (AI), exploring how advanced computational techniques can optimize AI algorithms for increased efficiency and effectiveness. I was honored as one of the Rising Stars in Computational and Data Sciences by U.S. Department of Energy. My collaborations extend internationally, including with the Innovative Computing Lab at the University of Tennessee and MINES ParisTech. In Summer 2021, I was a visiting scholar at the Innovative Computing Lab, where I contributed to a milestone of the Software for Linear Algebra Targeting Exascale (SLATE) project , a joint initiative of the U.S. Department of Energy’s Office of Science and the National Nuclear Security Administration (NNSA).

Research Interests

My research focuses on designing scalable runtime schedulers and algorithms for machine learning models and scientific applications, bridging the domains of mixed precision and low-rank numerical linear algebra, AI, and heterogeneous computing. This effort aims to unlock new capabilities in scientific discovery. I have contributed to significant projects, including a 2024 ACM Gordon Bell Finalist project that achieved groundbreaking performance in GWAS analysis on cutting-edge supercomputers like ALPS at CSCS, Leonardo at CINECA, and Frontier and Summit at ORNL. Additionally, my work on the 2022 ACM Gordon Bell Finalist project leveraged these approximations to accelerate geostatistical modeling and prediction for extreme-scale environmental applications on the Fugaku supercomputer at RIKEN.

Education

Doctor of Philosophy in Computer Science – King Abdullah University of Science and Technology (KAUST), Thuwal, KSA
Dissertation: “High-Performance Scientific Applications Using Mixed Precisions and Low-Rank Approximations Powered by Task-based Runtime Systems”
Master of Science in Computer Science – King Abdullah University of Science and Technology (KAUST), Thuwal, KSA
Thesis: High Productivity Programming of Dense Linear Algebra on Heterogeneous NUMA Architectures
Bachelor of Science in Computer Science – King Abdulaziz University (KAU), Jeddah, KSA
Undergraduate Project: Controlling the PC via Mobile Phone

Awards, Scholarships, Honors, and Grants

	2024 ACM Gordon Bell Prize Finalist with a paper titled Toward Capturing Genetic Epistasis From Multivariate Genome-Wide Association Studies Using Mixed-Precision Kernel Ridge Regression
	2024 DARPA DIAL grant - SmartSolve: An architecture and accuracy aware system for multi-algorithmic discovery
	2024 IEEE HPEC Best Short Paper Award - Synthesizing Numerical Linear Algebra using Julia
	2023 Ibn Rushd Postdoctoral Fellowship: Conducting research at the intersection of HPC and machine learning, utilizing advanced AI infrastructure for scalable and impactful solutions
	2022 ACM Gordon Bell Prize Finalist with a paper titled Reshaping Geostatistical Modeling and Prediction for Extreme-Scale Environmental Applications
	2022 Rising Stars in Computational and Data Sciences , US Department of Energy, Sandia National Lab, USA
	2022 Dean's List Award, Computer, Electrical and Mathematical Sciences and Engineering (CEMSE), KAUST, KSA
	2021 Research Excellence Award, Electrical and Mathematical Sciences and Engineering (CEMSE), KAUST, KSA
	2021 Argonne Training Program on Extreme-Scale Computing Travel Awards , USA
	2020 Gauss Award for Supercomputing of Excellence, ISC Conference, Gauss Center, Germany
	2020 1st place in the Artificial Intelligence competition, KAUST and NVIDIA workshop, KSA
	2019 3rd place in student poster competition, Artificial Intelligence in Medicine conference, KAUST, KSA
	2019 3rd place in KAUST JunctionX Hackathon, Hackathons around the globe, KAUST, KSA
	2018 Best Poster award, Saudi HPC conference, KAU, KSA
	2017 Master/PhD Discovery Scholarship, KAUST, KSA