Postdoctoral Fellow at King Fahd University of Petroleum & Minerals - KFUPM
Dhahran, Eastern Province, Saudi Arabia
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Summary
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Ali Kishk is a Computational Systems Biologist and AI Architect with nine years of experience applying deep learning and metabolic network modeling to drug repurposing, metagenomics, and systems pharmacology. Currently a postdoctoral fellow at KFUPM after completing a PhD at the University of Luxembourg, he developed interpretable metabolic models to evaluate repurposable drugs for cancers and COVID-19, with a dissertation focused on glioma subtypes. His background spans bioinformatics tool development—from targeted metagenomics classifiers and codon-usage optimizers to published work on transcriptomic preprocessing during an H3ABioNet/IBM Research Africa hackathon. Equally comfortable in wet‑lab–adjacent biological problems and neural network engineering, he bridges pharmaceutical science and computer science, holding degrees in pharmacy, informatics, and a PhD in biology. He is based in Dhahran, Saudi Arabia, and maintains open-source projects such as AmpliconNet that showcase his practical contributions to 16S rRNA taxonomic classification.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Biology, General, Doctor of Philosophy - PhD, Biology, General at University of Luxembourg
Bachelor's degree, Pharmaceutical Sciences, Bachelor's degree, Pharmaceutical Sciences at Faculty of Pharmacy Mansoura University
Master of Science in Information & Communication: Informatics, Computer Science, 3.71, Master of Science in Information & Communication: Informatics, Computer Science, 3.71 at Nile University - NU
Sequence based 16S rRNA Taxonomic classifier using MLP
Contributions:1 commit, 1 PR, 69 pushes in 1 day
sequencemlpclassifierdeep-learning16s
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Ali Kishk - Postdoctoral Fellow at King Fahd University of Petroleum & Minerals - KFUPM