Salvatore Raieli is a Senior Data Scientist based in Dijon with seven years of experience applying AI to drug discovery and translational biology. With a PhD in Immunology from Institut Curie and a Master's in AI from Leeds, he bridges deep biological knowledge and modern machine learning across tabular data, computer vision, GNNs and NLP. At Oncodesign he builds models to predict how candidate molecules might affect patient prognosis, and he volunteers on leukemia AI projects that deploy deep learning to distinguish cancer from healthy cells. He has led bioinformatics efforts on RNA-seq and miRNA datasets, created patient expression databases, and routinely translates research-grade methods into practical tools and tutorials for biologists. Known for blending rigorous experimental insight with production-minded modeling, he focuses on supervised and reinforcement learning approaches that reveal mechanistic signals beyond standard predictive metrics.
7 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Immunology, Doctor of Philosophy - PhD, Immunology at Paris-Sud University (Paris XI)
Master's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at University of Leeds
Master's degree, Pharmaceutical Biotechnology, Master's degree, Pharmaceutical Biotechnology at Università di Bologna / University of Bologna
Bachelor's degree, Biotechnol, Bachelor's degree, Biotechnol at Università degli Studi di Palermo
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