About me...

Experience, Education

A single page resume is available here

Experience

2024 Visiting Researcher, Paris-Saclay Institute of Neuroscience (NeuroPSI)
Integrative & Computational Neuroscience / Computational Neuroscience
"Consciousness and depth of anaesthesia monitoring"
In march 2024 I join the Computational Neuroscience team headed by Alain Desthexe at NeuroPSI to develop new methods for monitoring the level of consciousness during general anaesthesia using ECG and EEG physiological signals.
2019 Researcher, CEA
Fundamental Research Division / Institute for Integrative Biology of the Cell
"Physiological signal analysis for health applications"
Leader of a research project focused on developping AI and multiscale complexity analysis of ECG signals to monitor the depth of anesthesia.
2013 Researcher, CEA
Fundamental Research Division / Integrative Biology and Molecular Genetics Unit
"Protein Nano-Surface Interactions"
Since 2013 I have been part of a cross-department team (IRAMIS – JOLIOT) and interdisciplinary research group working on the study of protein nano-surface interactions. The aims of this project are: i) to establish the biophysical and biochemical mechanisms involved in the formation of interactions with nano-surfaces; ii) to quantify, at the molecular scale, the consequences of exposure to active materials at this scale (eg nanoparticles).
Within this group I am responsible for the analysis of all proteomics data, for upstream processing (identification of proteins on surfaces), statistical and modeling analyses. My current projects concern the construction of models for predicting interactions with nano-surfaces, using artificial intelligence approaches (machine learning).
2003 Researcher, CEA
Life Science Division / Integrative Biology and Molecular Genetics Unit
"System Biology"
During this period, I mainly evolved in a collaboration with the group of Franck Chauvat whose research theme is the study of cyanobacteria, in particular Synechocystis sp. Together we carried out an integrative biology project whose main research topics were: the study of iron and sulfur homeostasis and the optimization of hydrogenase activity. Such an integrative biology approach involved the joint study of biological networks at several scales: genomic; transcriptomics; proteomics and metabolomics. My contribution was to develop methods of inference of these networks (in particular of protein-protein interaction) as well as analysis tools integrating biological information at several levels (for example, transcriptome and proteome)..
2000 Researcher, CEA
Life Science Division / Cellular Biology Unit
"Renal Transcriptomic Analysis"
I was recruited in Jean-Marc Elalouf's group to develop the bioinformatics tools necessary for the analysis of transcriptomic data obtained by the SAGE (Serial Analysis of Gene Expression) method. This method is based on an approach combining biochemistry and high-throughput sequencing. We mainly worked on the physiological study of the kidney in mice. However, we used and improved the SAGE method to quantify renal activity at the molecular level.
I was involved in the development of a LIMS (as a web application) and a transcript analysis/annotation platform. These softwares provide insights into the biological functions represented in the samples.
1999     Postdoctoral fellow, École Polytechnique
Computer Science Laboratory (LiX)
"Multi class clustering using isotonic regressions"

Education

2022     Habilitation à Diriger les Recherches (HDR), Paris-Saclay University
"Statistical methods, inference and complexity for biology and health"
1998 Ph.D in Applied Mathematics
"Microbial genomes analysis: contributions of the pyramidal clustering"
Paris Dauphine University - INRIA Rocquencourt / Genome Team
(supervisors Diday E, Paris Dauphine Univ. & Codani J-J, INRIA)
1993 Diplôme d'études Approfondies (postgraduate degree) in Mathematics Applied to Engineering
Paris Dauphine University
1992 Master of Science in Mathematics Applied to Social Sciences
Paris Dauphine University