Cédric Notredame

Main pointers Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI) https://mbzuai.ac.ae/study/faculty/cedric-notredame/ Research work: https://tcoffee.org/ NAR Genomics and Bioinformatics: https://academic.oup.com/nargab Google Scholar Profile: https://scholar.google.com/citations?hl=en&user=3KeXQ2cAAAAJ Short Bio I am a molecular biologist by training (Toulouse, FR). I did my Ph.D. at EMBL (Heidelberg, GE) and EMBL-EBI (Cambridge, UK) under the supervision of Des Higgins. In 2001, I became a CNRS fellow and since 2007 I have been a senior PI at the CRG (Barcelona, ES) where I manage a team of about 10 researchers. My most notable scientific achievements include: Nextflow, a pipeline language that makes it possible to run complex analyses in a portable and reproducible way (www.nextflow.io, Nature Biotech 2017). In 2021, Nextflow was awarded the Swiss Institute of Bioinformatics innovation award. While in my lab, four of my students incorporated two highly successful companies around this new technology: Lifebits (Chatzou, Prieto) and Seqera Labs (Floden, DiTomasso). Altogether these two companies had already raised over 100 million dollars in 2022. T-Coffee, a multiple sequence alignment algorithm (www.tcoffee.org, JMB 2000, Nature Biotech 2019) that has received over 8.000 citations and whose consistency-based algorithm now forms the basis of most multiple sequence aligners. NAR Genomics and Bioinformatics, a sister title of Nucleic Acids Research that I launched in 2019, with the support of NAR and Oxford University Press. I act as a chief editor in this journal that specializes in publishing methods with a strong focus on reproducibility. "Bioinformatics for Dummies", a title of the dummies series that I co-authored with Jean-Michel Claverie (2002, 2009). The book has been one of the best-selling titles of bioinformatics with over 40.0000 copies sold worldwide. My scientific interests are very wide and include any domain where sequence comparison methods can contribute: sequence analysis algorithm, phylogeny reconstruction methods, rational use of structural information for sequence and evolutionary analysis, genomics and transcriptomics analysis, RNA analysis algorithms, methodological development for longitudinal data analysis and high-throughput computation. I am a huge fan of informal inter-disciplinary adventures and even though I am growing wiser by the years, I still find it hard to resist crazy collaboration invitations by fellow scientists. In this domain, my most adventurous expedition has probably been the adaptation of bioinformatics methods for the analysis of social longitudinal data, in collaboration with Lausanne University Social Science department. I am not ruling out even wilder endeavors in the future - on the contrary...