Raphael Mourad
Software Engineer
Summary
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SeniorRaphael Mourad is an Associate Professor (Habilitation) of bioinformatics and biostatistics in Toulouse, specializing in AI for genomics and personalized medicine. He develops large language models for biology and CNN-based approaches to genomics, health, and agronomy, bridging academic research with industry as Head of Clinical AI R&D at Remedy Logic and a freelance AI in medicine consultant. Over his 8-year track record, he has created and led more than 15 R&D projects and mentored researchers and interns, while co-organizing the French ML for Genomics LEGO conference. He teaches data science, machine learning, biostatistics, and genomics at Master/PhD levels, translating theory into practice. With a PhD in machine learning (Bayesian networks) from Nantes and masters in genomics and statistics, he combines rigorous quantitative training with life-science fluency to deliver tangible AI solutions in personalized medicine.
9 years of coding experience
Github Skills (46)
splice9
tensorflow29
genome-analysis9
genome8
genomics8
sequential8
keras8
structural-variation8
bioinformatics8
tensorflow-28
chainer7
artificial-intelligence7
sequence-alignment7
pairwise7
machine-learning7
Programming languages (5)
Github contributions (5)
raphaelmourad/PredDSB
Jan 2018 - Nov 2019
Contributions:1 release, 25 pushes, 1 branch in 1 year 10 months
raphaelmourad/Deep-Learning-for-Genomics-Training
Feb 2021 - Sep 2022
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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