Mathieu Lavallée-adam

Biography

Proteomics technologies had a remarkable impact on systems biology and biomedical research. For instance, mass spectrometry-based approaches now allow the large-scale mapping of protein-protein interaction networks, the quantification of proteins in different experimental conditions(e.g. normal and disease-related samples) and the identification of post-translationally modified proteins in complex biological samples (e.g. tissue or serum). The sensitivity and reproducibility of proteomics technologies are continuously increasing, thereby allowing the community to address biological questions never answered before. However, these improvements only translate into meaningful biological results when coupled with tailored computational analyses. Dr. Lavallée-Adam’s lab seeks to continuously adapt its computational research to emerging proteomics technologies and to produce innovative algorithms in order to generate novel high impact biomedical discoveries. Dr. Lavallée-Adam’s research yielded, among other things, software packages for the discovery and confidence assessment of protein-protein interactions and the analysis of the networks formed by these interactions. He also developed algorithms for the analysis of quantitative proteomics data obtained in different experimental conditions and the identification of intact proteins and large polypeptides using mass spectrometry. Finally, his lab’s most recent work aims to develop computational tools for the prediction of drug targets and off-target effects using large-scale mass spectrometry. Proteomics technologies had a remarkable impact on systems biology and biomedical research. For instance, mass spectrometry-based approaches now allow the large-scale mapping of protein-protein interaction networks, the quantification of proteins in different experimental conditions(e.g. normal and disease-related samples) and the identification of post-translationally modified proteins in complex biological samples (e.g. tissue or serum). The sensitivity and reproducibility of proteomics technologies are continuously increasing, thereby allowing the community to address biological questions never answered before. However, these improvements only translate into meaningful biological results when coupled with tailored computational analyses. Dr. Lavallée-Adam’s lab seeks to continuously adapt its computational research to emerging proteomics technologies and to produce innovative algorithms in order to generate novel high impact biomedical discoveries. Dr. Lavallée-Adam’s research yielded, among other things, software packages for the discovery and confidence assessment of protein-protein interactions and the analysis of the networks formed by these interactions. He also developed algorithms for the analysis of quantitative proteomics data obtained in different experimental conditions and the identification of intact proteins and large polypeptides using mass spectrometry. Finally, his lab’s most recent work aims to develop computational tools for the prediction of drug targets and off-target effects using large-scale mass spectrometry.

Research Interest

Bioinformatics Computational biology Computer Science Machine Learning Network Biology Proteomics Mass Spectrometry Protein Interactions Probability Theory Graph Theory Statistics Biochemistry