CV Science

Mathias Vandenbogaert Senior Bioinformatics Scientist

Course and current status

2004 Ph.D. Computational Biology, Laboratoire bordelais de Recherche en Informatique (LABRI, Université de Bordeaux I, France), and Institut National de Recherche en Informatique et Automatique (I.N.R.I.A. Rocquencourt, France).

2000:

1. M.Sc. Computer Science for Biology, Institut Pasteur, Paris, France.
2. M.Sc. Biochemistry, Laboratory of “Protein Biochemistry and Protein Engineering”, University Ghent, Belgium.

1997: B.Sc., Biology, University Ghent, Belgium.

2020 – 2023: Bio-informatics Scientist – Institut Curie, Paris, France. Translational Immunotherapy Research – Integrative Functional Genomics of Cancer. Single-cell scRNA-seq & scATAC-seq data analysis. Proteomics: immuno-peptidomics mass-spectrometry data analysis.

2012 – 2020: Bio-informatics Analyst – Institut Pasteur, Paris, France. Pôle de Génotypage des Pathogènes (PGP) – Cellule d’Intervention de Biologie d’Urgence (CIBU) ; Unité de Recherche et Expertise « Environnement et Risques Infectieux » (URE-ERI). Microbial meta-genomics NGS data analysis.

2006 –2012: Bio-informatics Analyst – Unité de Biologie Systémique, Institut Pasteur, Paris, France. Proteomics: Analysis of LC-MS/MS high-throughput data; Genomics: DNA-chip data analysis.

2005 –2006: Post-doc Computational Biology, Ecole Normale Supérieure, Paris, France.

2004 –2005: Post-doc Computational Biology, University Basel, Switzerland.

Scientific summary

The major component in my professional activities involves computational biology, in application to research in the field of public health.

My research activities involve basic and applied research in the field of computational biology. I have a university Master’s degree in biotechnology (university of Ghent, Belgium), along with a PhD doctoral degree in computer science, and today over 18 years of experience in bio-informatics, of which 14 in the field of high-throughput data screening for public health at the Institut Pasteur (Paris, France), and bulk/single-cell transcriptomics and immuno-peptidomics, data analysis in translational immunotherapy applied to cancer in the Institut Curie, Paris.

My work in the Institut Curie, involves harnessing both 'single cell' RNA and ATAC, and proteomics analysis techniques, where the main objectives involve finding appropriate biological 'targets', for adapted immunotherapies in  pathologies in close relation to cancer. The aims are to make use and transform single cell data into valuable scientific insights for our colleagues biologists. At the same time, we try to ally our expertise in computer-science and statistics with immunology, so as to bring data science to scientists, in order to innovate, propose novel insights and new concepts.