Email chris at lri . fr Home page http://www.lri.fr/~chris Position Professor emeritus at the University Paris-Saclay (Orsay) Phone +33 1 69 15 65 07 FAX +33 1 69 15 65 86 Office 172 Address LRI - Ada Lovelace building University Paris-Saclay F-91405 Orsay Cedex France

Professor emeritus in Computer Science at the University of Paris Saclay, member of the Bioinformatics group at the Laboratory of Computer Science LRI/LISN.

RESEARCH

PUBLICATIONS

OLD TEACHING

RESEARCH

• Genome Bioinformatics
  
  • Integration of data from biomedical data sources and knowledge extraction in genomic data sources
    
  • Systems biology: design and analysis of biological networks

• Computational methods
  
  • Integrating and querying data sources; ontologies mapping
  • Scientific workflows
  • Data extraction and Knowledge-based reasoning
  
  

• PhD theses
  
  
  • Data science for biological signalling networks (Aziza Filali Rotbi, co-supervised by Nicole Bidoit and Philippe Chatalic, LRI)
    
  • A logical approach to the systematic identification of computational network models for predicting synergistic genetic interactions involved in tumoral proliferation (Stéphanie Chevalier, co-supervised with Loïc Paulevé, LaBRI, and Andrei Zinovyev, Institut Curie)
    
  • Reconstruction of metabolic networks by functional annotation and completion of these networks by integration of heterogeneous data (Alexandra Zaharia, co-supervised with Alain Denise, PhD defended on Sept. 2018)
    
  • Qualitative methods for designing and analysing SBGN molecular networks (Adrien Rougny, in collaboration with Anne Poupon, INRA BIOS, PhD defended on Oct. 2016)
    
  • Designing scientific workflows following a structure and provenance-aware strategy (Jiuqiang Chen, co-supervised with Sarah Cohen-Boulakia, PhD defended on Oct. 2013)
    

OLD TEACHING

• M Sc Bioinformatics (Master M1 BIBS and M2 AMI2B)
  • Data Bases
  • Algorithmics
  • Introduction to Data Mining
  • Integration of heterogeneous data sources and Big Data
  
  
• Teacher training in mathematics, track on computer science