معرفی
Amine Ghozlane is a Research Engineer at the Bioinformatics and Biostatistics HUB of the Institut Pasteur in Paris, where he has been actively contributing since 2015. He is affiliated with interdisciplinary initiatives such as the INCEPTION Institute of Convergence and the Computational Biology Resource and Research Center. His work bridges computational biology, metagenomics, and microbiome research, with a strong emphasis on developing accessible analytical tools for non-specialists.
- PhD in Computational Biology, University of Bordeaux 1 and CBiB (2012)
- Master and Bachelor in Computational Biology, University of Paris Diderot
- DUT in Biological Engineering, University of Paris XII
His research focuses on quantitative metagenomics, statistical modeling, graph analysis, and structural bioinformatics, particularly in the context of human gut microbiota and host-pathogen interactions. He has developed significant expertise in NGS data analysis, microbiome composition comparison, and reproducible research workflows.
His most notable contribution is SHAMAN (SHiny Application for Metagenomic ANalysis), a web-based platform that streamlines metataxonomic analysis from raw sequencing reads to statistical interpretation, using DESeq2 and interactive visualizations. This tool exemplifies his commitment to democratizing bioinformatics for broader scientific use.
His publication record spans high-impact journals and covers diverse topics including antibiotic resistance, SARS-CoV-2 immunity, mosquito-virus interactions, and microbial community resilience. The research trends reflect a consistent focus on integrating large-scale biological data with computational methods to understand microbial ecology and disease mechanisms.
Scientific Contributions and Recognition:
- Principal Investigator of SHAMAN software project
- Active contributor to microbiome and infectious disease research
- Participant in major collaborative projects (e.g., EVOTAR, DAV132-CL1002 clinical study)
Ghozlane is deeply involved in education, regularly teaching in the Bioinformatics PhD Training Program at the Institut Pasteur, covering topics such as NGS data analysis, metagenomics, and statistical computing. He has also led specialized courses at Paris Diderot University. His work is embedded within collaborative teams focused on genomics, microbiota, and systems biology, including participation in projects related to Listeria infections and microbial resistome characterization. He continues to advance methodologies for microbiome data analysis, with future work likely extending into integrative multi-omics and clinical applications.
