Aziz Fouché is an AI research scientist in Paris with a PhD in computational biology and nine years of experience applying machine learning to high-dimensional single-cell and transcriptomics data. At Scienta Lab he has driven pre-training and fine-tuning of biological foundation models and now works on the EVA model team, blending model engineering with scientific communication (ICML 2025). His doctoral work produced scalable methods for batch effect correction, optimal-transport–based single-cell analysis, and insights into Ewing sarcoma heterogeneity, reflecting strong interdisciplinary depth across biology, maths, and algorithms. Beyond research, he writes production-ready software, coordinates projects end-to-end, and even builds an audience as a YouTube and Twitch partner—demonstrating an unusual combination of rigorous science, engineering delivery, and public-facing science communication.
9 years of coding experience
Computer science, Computer science at ENS Paris-Saclay
Doctorat Computational biology, Doctorat Computational biology at Sorbonne Université
Baccalauréat scientifique Mathématiques, Baccalauréat scientifique Mathématiques at Lycée Montaigne Bordeaux
Licence Mathematics & computer science, Licence Mathematics & computer science at Université de Bordeaux
Contributions:8 pushes, 1 branch in 7 years 11 months
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Aziz Fouché - AI Research Scientist at Scienta Lab