Dr. Hafid Soualhine is
chief of the National Reference Center for Mycobacteriology at the National
Microbiology Laboratory-Public Health Agency of Canada. He is leading a dynamic
group who provide specialized diagnosis, reference and surveillance services
for tuberculosis and non-tuberculous mycobacteria. Dr. Soualhine obtained his
PhD in Morocco-Pasteur Institute on drug resistant tuberculosis. He did his
post-doctoral training, at University de Bourgogne-France on whole genome
sequencing, and at CHUL-Laval University in Québec on genomic and proteomic of
drug-resistant S. pneumoniae and as scientist at UBC on development of new
recombinant BCG vaccine. With Behr’s Lab at McGill University, He collaborated on NOD2 and Crohn’s disease pathology and
molecular epidemiology of TB. His research group exploits cutting-edge omics
technologies such as next-generation sequencing and mass spectrometry-based
proteomics and transcriptomics, combined with computational approaches, to advance
our understanding of Mycobacterium tuberculosis transmission, pathogenesis,
drug resistance and host-pathogen interactions.
Dr. Hafid Soualhine is
chief of the National Reference Center for Mycobacteriology at the National
Microbiology Laboratory-Public Health Agency of Canada. He is leading a dynamic
group who provide specialized diagnosis, reference and surveillance services
for tuberculosis and non-tuberculous mycobacteria. Dr. Soualhine obtained his
PhD in Morocco-Pasteur Institute on drug resistant tuberculosis. He did his
post-doctoral training, at University de Bourgogne-France on whole genome
sequencing, and at CHUL-Laval University in Québec on genomic and proteomic of
drug-resistant S. pneumoniae and as scientist at UBC on development of new
recombinant BCG vaccine. With Behr’s Lab at McGill University, He collaborated on NOD2 and Crohn’s disease pathology and
molecular epidemiology of TB. His research group exploits cutting-edge omics
technologies such as next-generation sequencing and mass spectrometry-based
proteomics and transcriptomics, combined with computational approaches, to advance
our understanding of Mycobacterium tuberculosis transmission, pathogenesis,
drug resistance and host-pathogen interactions.