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My career in computer science began with a bachelor's degree in the early 2010s, driven by a deep fascination with networked and distributed systems. This passion led me to specialize in high-performance computing (HPC), where I have dedicated over a decade to collaborating with computational scientists and applied mathematicians on solving intricate scientific challenges at scale. Under the mentorship of Professor David E. Keyes, I earned both my master's and PhD in computer science. Following my doctoral studies, I conducted postdoctoral research first at the University of Tennessee, Knoxville, under Professor Jack Dongarra, and later at KAUST with Professor David E. Keyes.

My industry journey began with roles as a software engineer at the Saudi Electricity Company and Saudi Aramco before pursuing advanced degrees. From 2019 to 2021, while working closely with Professor Jack Dongarra, I made significant contributions to the Exascale Computing Project of the United States Department of Energy, focusing specifically on Software for Linear Algebra Targeting Exascale (SLATE). Throughout 2022, I continued my role as a senior data engineer at KAPSARC, where I developed and maintained data pipeline architecture for energy, economy, and climate models.

Currently, I am a principal technologist at Hewlett Packard Enterprise (HPE), responsible for the deployment, installation, configuration, and support of supercomputing solutions designed for HPC and AI workloads.

Mohammed Al Farhan's Projects

pyseq icon pyseq

Needleman-Wunsch and Hirschberg algorithms

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