Bioinformatician bridging clinical molecular pathology, computational genomics, and machine learning 🇸🇦.
- 🔬 Building reproducible NGS pipelines (Nextflow / Snakemake) for WES, WGS, RNA-Seq & somatic variant calling — and validating in-silico tests for clinical use.
- ☁️ Running production genomic pipelines across AWS & Google Cloud in a clinical genomics setting.
- 🎓 Completing an M.Sc. in Applied Artificial Intelligence - applying ML & deep learning to genomic and biomedical data.
- 🧪 My background blends laboratory medicine, information technology, and artificial intelligence.
- 💬 Ask me about Clinical Bioinformatics, NGS pipelines, and AI for genomics.
- 📫 Reach me at a.alnawfal.1992@gmail.com
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Bioinformatics & Pipelines
Machine Learning & AI
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Cloud / HPC
Languages & Tools
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- M.Sc. Applied Artificial Intelligence — Prince Sattam Bin Abdulaziz University (2024–2026)
- B.Sc. Information Technology — Saudi Electronic University (2019–2023)
- B.Sc. Applied Medical Science — Qassim University (2011–2017)
- Clinical, molecular, and biochemical delineation of asparagine synthetase deficiency in a Saudi cohort. Genetics in Medicine 22, 2071–2080 (2020). DOI
- Automating the Computational Analysis of Exome Sequencing Data. J. Computer Science & Systems Biology 12 (2019): 47–52.
"Advancing precision medicine through AI-driven pipeline engineering."