Mathieu Blanchette

Mathieu Blanchette is a Fellow at McGill University's Department of Computer Science. His research focuses on bioinformatics and computational biology, with an emphasis on computational genomics, 3D genomics, transposable elements, and epigenetic regulation. He leads the Computational Genomics Lab, where his team develops algorithms and machine learning approaches to address key questions in genomics and evolution. The lab collaborates with researchers across disciplines, including biology, biochemistry, and medicine, to advance biological discoveries through computational tools. His work includes ancestral genome reconstruction, transposable element annotation, and the analysis of chromatin structure and function. He is also involved in teaching and mentoring students at various levels, including graduate and undergraduate programs.

Mathieu Blanchette is a Professor of Computer Science at McGill University, specializing in bioinformatics, genomics, and evolution. His research focuses on computational methods for analyzing genomic sequences, including multiple sequence alignment, phylogenetic footprinting, and the identification of regulatory elements. He has contributed to understanding the evolutionary dynamics of genomes through comparative genomics and the study of gene and genome duplications. His work also explores the relationship between DNA methylation, genetic variation, and gene expression. Blanchette's research integrates algorithm development with biological insights to advance our understanding of genomic regulation and evolution.