Raphael Mourad is an Associate Professor (Habilitation) in bioinformatics and biostatistics at Université Paul Sabatier, Toulouse, specializing in machine and deep learning for genomics and personalized medicine. With nine years of academic and industry experience, he has created and led over 15 R&D projects, supervised multiple researchers and interns, and co-organizes France’s ML-for-genomics conference LEGO. He develops convolutional neural networks and large language models tailored to DNA, immunology, and clinical applications, and consults for startups on clinical AI, genomic prediction, and LLMs for biological sequences. His background combines a PhD in machine learning (Bayesian networks) with hands-on clinical collaborations—most notably leading clinical AI for spine surgery at Remedy Logic. He teaches data science, machine learning, biostatistics and genomics at Master/PhD level and maintains an active publication record and external advisory roles across Europe and North America.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Machine Learning (Bayesian Networks), Doctor of Philosophy (Ph.D.), Machine Learning (Bayesian Networks) at Université de Nantes
Master's Degree (Ecole d'ingénieurs), Statistics, Master's Degree (Ecole d'ingénieurs), Statistics at Ecole nationale d'Ingénieurs des Techniques des Industries agricoles et alimentaires
Master's Degree, Genomics, Master's Degree, Genomics at Université Paris Sud (Paris XI)
Phase 2 repo for the Inserm Workshop on Machine Learning in Biology
Contributions:47 commits, 21 pushes in 1 year 7 months
workshopbiologymachine-learningphase-2phase
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Raphael Mourad - Associate Professor (Habilitation)