David Bouyssié

David Bouyssié

Research engineer position at IPBS

Institute of Pharmacology and Structural Biology (IPBS-CNRS)

Toulouse

France

10/16

Short bio

David Bouyssié is an expert in computational proteomics with over 20 years of experience in the development of software tools and algorithms for quantitative analysis of peptides and proteins from LC-MS/MS data. He has led the development of several open-source bioinformtatic tools, including HDX-Viewer, MFPaQ, and Proline, and created the mzDB file format, designed to accelerate the analysis and visualization of large-scale mass spectrometry datasets. David holds a permanent research engineer position at the Institute of Pharmacology and Structural Biology (IPBS), a joint institute from CNRS and the University of Toulouse. He is a staff member of the bioinformatics group in the proteomics laboratory (ProteoToul, proteotoul.ipbs.fr) led by Dr. Odile Burlet-Schiltz, an expert in mass spectrometry of peptides and proteins. David is also a former board member of the French Proteomics Society (FPS) and is a founding member of the EuBIC-MS initiative

Research interest

The Proteomics laboratory at IPBS is engaged in several research projects and is also hosting a high-end facility equipped with state-of-the-art MS instrumentation and bioinformatics tools. The main research projects focus on the characterization of human proteasome complexes to understand their structure-function relationships and on the in-depth analysis of proteomes of various cells from the immune system to understand their specific role and to decipher signaling events. In recent years, and under the supervision of David Bouyssié, the group has initiated methodological developments in real-time instrument control, enabling the design of smart MS acquisition strategies that dynamically adapt to sample content.
The group is recognized as a national node within the Proteomics French Infrastructure (ProFI). It has earned worldwide recognition for its expertise in several aspects of MS-based proteomics (interactomics, phosphoproteomics, large-scale quantitative proteomics, structural MS) and the development of innovative bioinformatics tools.