Siegel, Anne (1975-.... ; chercheuse en bioinformatique)
Directrice de Recherche, responsable de l'équipe "Dynamics, inference and logics for biological systems and sequences" (DYLISS) au sein du département "Gestion des données et de la connaissance" de l'Institut de recherche en informatique et systèmes aléatoires (IRISA - UMR CNRS 6074 - ENS Rennes/Inria/INSA Rennes/Institut Mines-Télécom/Université de Bretagne-Sud/Université de Rennes)
Research director at CNRS, located at IRISA, the computer science laboratory of Rennes. She is the leader of the Dyliss group (IRISA and Inria Rennes) which develops formal methods for the integration of heterogenous data in biology. She started her carreer in mathematics and theoretical computer science by studying symbolic dynamical systems to investigate self-similar structures in number theory and tilings.<br style="color: rgb(85, 85, 85); font-family: "Source Sans Pro"; font-size: 18px; text-align: justify;">Then she explored the field of systems biology, that is, the modeling and study of dynamical systems in molecular biology. Her main research now focuses on constraint-based methods to interpret large-scale observations of a molecular system in a dynamical system framework, with applications to marine biology and extremophile microbiology.
Vidéos
Reasoning over large-scale biological systems with heterogeneous and incomplete data
Data produced by the domain of life sciences in the next decade are expected to be highly challenging. In addition to scalability issues which are shared with other applications domains, data produced