Soufiane Mourragui is a Senior AI/ML Scientist and computational biologist based in Cambridge with 10 years of experience applying advanced machine learning and applied mathematics to single-cell and cancer genomics. He earned a PhD in Computational Biology and has progressed from academic research—developing transfer learning methods to link pre-clinical models and human tumors—to industry roles at Ensocell where he now leads AI/ML efforts for single-cell applications. His background spans high-performance computing, nanopore sequencing analysis, and designing large-scale ML systems for metagenomics and drug response prediction. Notably, he has navigated multi-stakeholder consortia and won the BioSB Young Investigator Award, reflecting both technical depth and collaborative leadership. He combines rigorous quantitative training from MINES ParisTech with hands-on software engineering in Python and production ML, making him adept at translating complex biological questions into scalable computational solutions.
10 years of coding experience
1 year of employment as a software developer
Mathematics and physics, Admitted to Mines ParisTech, Mathematics and physics, Admitted to Mines ParisTech at Lycée Pierre Corneille
Doctor of Philosophy - PhD, Computational Biology, Doctor of Philosophy - PhD, Computational Biology at Delft University of Technology
Ingénieur Civil des Mines de Paris, Geostatistics and Applied Probability, Ingénieur Civil des Mines de Paris, Geostatistics and Applied Probability at MINES ParisTech
Contributions:23 commits, 11 PRs, 20 pushes in 2 years 3 months
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Soufiane Mourragui - Senior AI ML Scientist at Ensocell