Professor Notredame’s teaching and research interests span evolutionary biology, comparative genomics, and the development of algorithms for biological sequence analysis. He is best known for the T-Coffee multiple sequence alignment framework, which has been widely adopted in molecular biology and structural bioinformatics. More recently, his laboratory has played a central role in the development of Nextflow, a workflow language routinely used for large-scale, reproducible data analysis in genomics.
Professor Notredame's work lies at the intersection of biology, algorithms, and scientific infrastructure, with a strong emphasis on methodological reproducibility, and community-driven tool development. In teaching, he aims to provide students with solid conceptual foundations, particularly in comparative genomics, and practical skills, enabling them to critically assess computational methods and design robust, scalable analyses in data-intensive biology.
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