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Kévin Gravouil has extensive work experience in the field of bioinformatics. Kévin began their career as a Bioinformatics Intern at CNRS in 2011, where they gained valuable experience in data analysis. Kévin then completed a Bioinformatics Internship at the Center for Biological Sequence Analysis in 2013, focusing on the integration and visualization of data from mass spectrometry. Kévin continued their bioinformatics work as an Engineer in the same department at CNRS, working on projects related to the impact of electromagnetic waves on microbial development and water microbiology. In 2014, they became a Research Engineer at Airudit, where they contributed to research in the field of machine learning. Kévin later joined Delfox in 2019 as a Machine Learning Researcher, specializing in the application of machine learning techniques. Finally, Kévin pursued a doctoral degree in Bioinformatics at Université d'Auvergne from 2015 to 2019, focusing on genomic analysis and metagenomics.

Kévin Gravouil obtained a DUT degree in Biological Engineering with a specialization in Bioinformatics from the University of Clermont I in the years 2009 to 2011. Kévin then pursued a Master's degree in Physiological, Biotechnological, and Informatics Engineering from the University of Poitiers between 2011 and 2014. During their Master's program, they focused on Biotechnologies, -omics, software design, database management, and project management. Lastly, from 2015 to 2019, Kévin Gravouil attended the University of Clermont Auvergne, where they successfully completed their Doctorate in Bioinformatics.