Jean Coquet

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Ph.D Student, Irisa/Inria Rennes


Dyliss team, Irisa / Inria Rennes-Bretagne Atlantique,
Campus de Beaulieu, 35042 Rennes Cedex, France.
Office D156 (Orange floor)
Tel: +33 (0)2 99 84 71 19
Email: jean.coquet@inria.fr

Research


Ph.D thesis (2014-present): Semantic-based reasoning for biological pathways analysis. Supervisors: Olivier Dameron and Nathalie Theret

Publications


Coquet, J., Théret, N., Legagneux, V., & Dameron, O. (2017). Identifying Functional Families of Trajectories in Biological Pathways by Soft Clustering: Application to TGF-β Signaling. In International Conference on Computational Methods in Systems Biology. Springer International Publishing. ‹10.1007/978-3-319-67471-1_6›

Benony, M., Cardon, M., Ferré, A., Coquet, J., Foulquier, N., Thonier, F., ... & Arcos, J. M. G. (2016). The smell of us–crowdsourcing human body odor evaluation. Human Computation, 3(1), 161-179. ‹10.15346/hc.v3i1.9›

International Collaborations


2016: Research Intern at National Institute of Informatics, Tokyo, Japan. Pathway clustering with RSC Model. Supervisor: Michael Houle.

Scientific Communication


Coquet, J., Andrieux, G., Nicolas, J., Dameron, O., & Théret, N. (2015). Topological and semantic Web based method for analyzing TGF-β signaling pathways. In JOBIM 2015. ‹hal-01242893›

Coquet, J., Feret F., Dameron, O., & Théret, N. (2014). Network Modeling of TGF-β Activation. In BioSit 2014. ‹pdf›

Scientific Popularization


2015: Short Films Festival "Sciences en Court[s]": Une rencontre percutante

Supervising


2015: Supervising of Pierre Vignet internship: Evaluation of a knowledge-based selection strategy for candidate metabolic pathways.

Teaching


  • 2015 - 2016: University of Rennes 1 (France)
    • Master's degree: Principes de programmation et d'algorithmique. 32h
    • Bachelor's degree: Algorithmique et Programmation Fonctionnelle. 20h
    • Bachelor's degree: Bureautique. 12h
  • 2016 - 2017: University of Rennes 1 (France)
    • Bachelor's degree: Algorithmique et Programmation Fonctionnelle. 40h
    • Bachelor's degree: Module Programmation Scientifique 1. 20h