Professor Jérémie Bourdon is a Full Professor of Computer Science at the University of Nantes, Faculty of Science and Technology, where he serves as Vice-Dean in charge of Research, Innovation and International Relations since 2018. He is affiliated with LS2N (Laboratory of Digital Sciences of Nantes, UMR 6004) and heads the ComBi research group (Combinatorics and Bioinformatics) since January 2014. His research focuses on the application of probabilistic methods in bioinformatics, particularly in systems biology. Professor Bourdon's work spans from Number Theory to Systems Biology with a common thread of developing and using probabilistic tools. His main research activities include dynamical analysis of algorithms and systems biology modeling, where he has developed the transition event graph model to integrate quantitative and qualitative biological data. Professor Bourdon's recent publications demonstrate consistent output in high-impact journals including Nature Communications, PLOS Computational Biology, and BMC Systems Biology, with research trends showing increasing focus on metabolic network analysis, multi-omics data integration, and constraint-based modeling approaches. Academic Editor for PLOS One Co-chair of CMSB 2015 international conference Member of Biogenouest scientific council (2004-2017) Co-scientific responsible for BiRD bioinformatics platform Professor Bourdon has secured significant research funding including the 1.4M€ GRIOTE project and participation in multiple ANR/CNRS projects. He has supervised 9 PhD students, typically through co-direction arrangements, reflecting his collaborative research approach. His ComBi group consists of 12 members including professors, assistant professors, PhD students, post-docs, and engineers, working on diverse topics in bioinformatics and computational biology. The ComBi research group, led by Professor Bourdon since 2014, focuses on combinatorics and bioinformatics with activities centered around comparative genomics and systems biology. The group provides a collaborative environment for interdisciplinary research at the intersection of computer science and biology, with strong connections to biological research teams and access to computational resources through the BiRD platform.