Mahmoud Hallal is a Senior Data Scientist based in Basel with five years of experience translating proteomics and clinical omics data into actionable insights for pharmaceutical research. Trained as a biologist and holding a PhD in Computational Biology, he built and validated a phosphoproteomics pipeline to infer kinase activity and dissect resistance mechanisms in myeloid malignancies, combining wet-lab familiarity with R/Python development. At Roche and previously as an R core developer on large industry projects, he has shipped reproducible analysis pipelines and ML solutions for clinical datasets. He pairs domain expertise in hematology and proteomics with practical skills in machine learning, data visualization and pipeline engineering, and has formal training in project management and entrepreneurship. An often-overlooked strength is his hands-on bench experience, which helps bridge computational models with experimental design and pharmacological validation.
5 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computational Biology, Doctor of Philosophy - PhD, Computational Biology at University of Bern
Master’s Degree, Bioinformatics and Computational Biology, Master’s Degree, Bioinformatics and Computational Biology at Universität Bern/ University of Fribourg
Bachelor’s Degree, Biology, General, Bachelor’s Degree, Biology, General at Université de Neuchâtel
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